UTEP Faculty Profiles

Main Content

Vladik Y. Kreinovich

Professor
Computer Science
Cyber-Share
Bioinformatics
Computational Science

Office Building: Chemistry and Computer Science Building
Office Room: 3.0404
Phone: (915) 747-6951
Email: vladik@utep.edu

Expertise: See Research Profile in Expertise Connector

Bio

No info available.

Awards and Honors

Outstanding Paper Award and Honorable Mention for a Student Paper, Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2024, South Padre Island, Texas, May 27-29, 2024 - North American Fuzzy Information Processing Society (01/01/2024-12/31/2024)
Best Presentation Award for the 20th Congress of the International Fuzzy Systems Association IFSA 2023, Daegu, South Korea, August 20-23, 2023 - International Fuzzy Systems Association IFSA (01/01/2023-12/31/2023)
Outstanding Reviewer Award - Asian Journal of Economics and Banking (01/01/2023-12/31/2023)
Outstanding Reviewer Award - Asian Journal of Economics and Banking (01/01/2023-12/31/2023)
Three Outstanding Paper Awards, Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 - North American Fuzzy Information Processing Society (01/01/2023-12/31/2023)
Recognition Award, 20th World Congress of the International Fuzzy Systems Association, Daegu, South Korea, August 20-23, 2023 - International Fuzzy Systems Association IFSA (08/22/2023)
Best Paper Award, Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2022 - North American Fuzzy Information Processing Society NAFIPS (01/01/2022-12/31/2022)
Best Student Paper Award, Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2022 - North American Fuzzy Information Processing Society NAFIPS (01/01/2022-12/31/2022)
K. S. Fu Award for Contributions to the North American Fuzzy Information Processing Society - North American Fuzzy Information Processing Society (01/01/2022-12/31/2022)
Two Outstanding Paper Award, Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2022 - North American Fuzzy Information Processing Society NAFIPS (01/01/2022-12/31/2022)
Best Student Paper Award, 8th World Conference on Soft Computing WConSC'2022, Baku, Azerbaijan, February 3-5, 2022 - 8th World Conference on Soft Computing WConSC'2022, Baku, Azerbaijan, February 3-5, 2022 (02/05/2022)
Best Student Paper Award, Interval Session, Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 - North American Fuzzy Information Processing Society (01/01/2021-12/31/2021)
AT&T Fellowship in Information Technology for 2021/2028 - AT&T (09/01/2021)
Outstanding Paper Award - International Conference on Intelligent and Fuzzy Systems INFUS'2021, Istanbul, Turkey, August 24-26, 2021 (08/26/2021)
Best Paper Award - 1st International Symposium on Artificial Intelligence and Applications, Melbourne, Australia, September 7-11, 2020 (09/11/2020)
Best Student Paper Award - Annual Workshop on Constraint Programming and Decision Making CoProd'2020, Redmond, Washington, August 19, 2020 (07/04/2020)
IEEE Systems, Man, and Cybernetics Society Meritorious Service Award - IEEE Systems, Man, and Cybernetics Society (10/07/2019)
Fellow of the Russian Association for Fuzzy Systems and Soft Computing - Russian Association for Fuzzy Systems and Soft Computing (05/01/2019-05/31/2019)
Doctor Honoris Causa - Ostrava University, Czech Republic (10/08/2018)
Senior Member - Association for Computing Machinery (ACM) (01/12/2018)
Fellow - International Fuzzy Systems Association (01/01/2017-12/31/2017)
Fellow - Mexican Society for Artificial Intelligence SMIA (01/01/2017-12/31/2017)
Best 2014 Individual Paper - International Journal of General Systems (01/01/2015-12/31/2015)
2015 Society for Design and Process Science (SDPS) Fay and Lotfi A. Zadeh Award for Major Contributions to the Theory and Applications of Fuzzy Systems and Related Fields - Society for Design and Process Science (SDPS) (11/03/2015)
Outstanding Paper Award - Joint Annual Conference of the North American Fuzzy Information processing Society NAFIPS'2015 and 5th World Conference on Soft Computing, Redmond, Washington, August 17-19, 2015 (08/18/2015)
Best Thesis Award - College of Science, University of Texas at El Paso (01/01/2014-12/31/2014)
Excellent Paper Award - 11th International Symposium on Management Engineering, Kitakyushu, Japan, July 27-30, 2014 (01/01/2014-12/31/2014)
Life Fellow - International Society of Management Engineers (01/01/2014-12/31/2014)
Best Student Interval Paper Award - Joint World Congress of the International Fuzzy Systems Association and an Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2013, Edmonton, Canada, June 24-28, 2013 (06/01/2013-06/30/2013)
Best Paper Award - 2012 International Conference of the North American Fuzzy Information Processing Society NAFIPS'2012, Berkeley, California, August 6-8, 2012 (08/01/2012-08/31/2012)
Best Paper Award - Annual Conference of the North American Fuzzy Information Processing Society, El Paso, Texas, March 2011 (03/01/2011-03/31/2011)
Meritorious Paper Award - 2010 International Conference of the North American Fuzzy Information Processing Society NAFIPS'2010, Toronto, Canada, July 12-15, 2010 (07/01/2010-07/31/2010)
Best Paper Award - 1st Latin-American Workshop on Non-Monotonic Reasoning LA-NMR'2004, Mexico City, Mexico, April 26, 2004 (04/01/2004-04/30/2004)
El Paso Energy Foundation Faculty Achievement Award for Research - University of Texas at El Paso (01/01/2003-12/31/2003)
Best Dissertation Award - University of Texas at El Paso (01/01/2002-12/31/2002)
Top Performer in Teaching and Research Categories - College of Engineering, University of Texas at El Paso (01/01/2001-12/31/2001)
Top Performer in the Teaching Category - College of Egineering, University of Texas at El Paso (01/01/1999-12/31/1999)
Award for Excellence for Student Services - College of Engineering, University of Texas at El Paso (01/01/1992-12/31/1992)

Education

Ph D in Mathematics, Institute of Mathematics, Siberian Branch, Soviet Academy of Sciences (1979)
BS in Computer Science, Leningrad University (1974)
MS in Mathematics , Leningrad University (1974)

Publications

A Generative Model for Assessing Computing Education: The Fuzzy Bloom's Taxonomy Approach Proceedings of the NAFIPS International Conference on Fuzzy Systems, Soft Computing, and Explainable AI NAFIPS'2024, South Padre Island, Texas, May 27-29, 2024 (in press), Dan Padilla, Olga M. Kosheleva, Vladik Y. Kreinovich.
A Pre-Bohr Explanation of the Periodic Table: How Could a Wrong Theory Fit Data So Well? Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 6, 2024 (2024), Alejandra Maciel Cuevas, Olga M. Kosheleva, Vladik Y. Kreinovich.
A review of "A collaborative Bayesian optimization method for estimation of failure probability bounds under mixed uncertainties" by F. Hong, P. Wei, J. Song, M. Valdebenito, M. G. R. Faes, and M. Beer, and "Estimation of failure probability function and its bounds under random and interval variables: A fully decoupled approach using Bayesian active learning" by J. Liu, C. Dang, M. G. R. Faes, M. A. Valdebenito, and M. Beer. International Journal of Fuzziness, Uncertainty, and Knowledge-Based Systems 32 3 (in press), Vladik Y. Kreinovich.
A review of "A collaborative Bayesian optimization method for estimation of failure probability bounds under mixed uncertainties" by F. Hong, P. Wei, J. Song, M. Valdebenito, M. G. R. Faes, and M. Beer, and "Estimation of failure probability function and its bounds under random and interval variables: A fully decoupled approach using Bayesian active learning" by J. Liu, C. Dang, M. G. R. Faes, M. A. Valdebenito, and M. Beer International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 32 3 (2024), Vladik Y. Kreinovich.
A review of "A novel Multi-Criteria Decision Making framework based on Evidential Reasoning dealing with missing information from online reviews" by S.-F. He, X.-H. Pan, Y.-M. Wang, D. Garcia Zamora, and L. Martinez International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 32 8 (in press), Vladik Y. Kreinovich.
A review of "A theory of calculus for $A$-correlated fuzzy processes" by G. do Nascimento Costa, E. Esmi Laureano, and L. C. de Barros. International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 32 6 (2024), Vladik Y. Kreinovich.
A review of "An efficient interval moment method for uncertainty propagation analysis with non-parameterized probability-box" by Z. Zhao, Z.-H. Lu, and Y.-G. Zhao International Journal of Uncertainty, Fuzziness, and Knowledge Based Systems 32 5 (2024), Vladik Y. Kreinovich.
A review of "An efficient uncertainty propagation analysis method of non-parameterized p-boxes based on dimension-reduction integral and maximum entropy estimation" by H. Xie, J. Li, H. Liu, H. Hu, and D. Liao International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 32 6 (2024), Vladik Y. Kreinovich.
A review of "Data-driven and physics-based interval modelling of power spectral density functions from limited data'' by M. Behrendt, C. Dang, and M. Beer International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 32 8 (in press), Vladik Y. Kreinovich.
A review of "Environmental contours based on imprecise probability distributions" by R. Perez-Castro and F. L. Silva-Gonzalez International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 32 3 (2024), Vladik Y. Kreinovich.
A review of "Estimation of response expectation bounds under parametric p-boxes by combining Bayesian global optimization with Unscented Transform" by C. Ding, C. Dang, M. Broggi, and M. Beer. International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 32 6 (2024), Vladik Y. Kreinovich.
A review of "General fractional interval-valued differential equations and Gronwall inequalities" by Q. Fan, L.-L. Huang, and G.-C. Wu International Journal of Uncertainty, Fuzziness, and Knowledge Based Systems 32 5 (2024), Vladik Y. Kreinovich.
A review of "Generalization of Jaccard index for interval data analysis" by A. N. Bazhenov and A. Yu. Telnova International Journal of Uncertainty, Fuzziness, and Knowledge Based Systems 32 5 (2024), Vladik Y. Kreinovich.
A review of "Interval valued picture fuzzy Aczel–Alsina aggregation operators and their application by using the multiattribute decision making problem" by K. Jabeen, K. Ullah, M. Akram, and I. Haleemzai International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 32 3 (in press), Vladik Y. Kreinovich.
A review of "Operator norm-based determination of failure probability of nonlinear oscillators with fractional derivative elements subject to imprecise stationary Gaussian loads'' by D. Jerez, V. C. Fragkoulis, P. Ni, I. P. Mitseas, M. Valdebenito, M. Faes, and M. Beer International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 32 8 (in press), Vladik Y. Kreinovich.
A review of "Optimizing a linear fractional function with interval coefficients over an integer efficient set under chance constraints" by L. Younsi-Abbaci and M. Moulai International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 32 2 (2024), Vladik Y. Kreinovich.
A review of "Residential flood risk in Metro Vancouver due to climate change using probability boxes" by H. Viseh and D. N. Bristow International Journal of Uncertainty, Fuzziness, and Knowledge Based Systems 32 5 (2024), Vladik Y. Kreinovich.
A review of "Simple, fast, and reliable methods for maximization of recognizing functional" by S. P. Shary and S. I. Zhilin International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 32 2 (2024), Vladik Y. Kreinovich.
A review of "Soft Monte Carlo simulation for imprecise probability estimation: A dimension reduction-based approach" by A. Abdollahi, H. Shahraki, M. G. R. Faes, and M. Rashki International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 32 2 (2024), Vladik Y. Kreinovich.
A review of "Uncertainty propagation of missing data signals with the interval discrete Fourier transform" by M. Behrendt, M. de Angelis, and M. Beer International Journal of Uncertainty, Fuzziness, and Knowledge Based Systems 32 5 (2024), Vladik Y. Kreinovich.
A review of "Using the Interval-Symbol Method with Zero Rewriting to factor polynomials over algebraic number fields" by K. Okuda and K. Shirayanagi International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 32 2 (2024), Vladik Y. Kreinovich.
Data Fusion Is More Complex Than Data Processing: A Proof Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 6, 2024 (2024), Robert Alvarez, Salvador Ruiz , Martine C. Ceberio, Vladik Y. Kreinovich.
Data Fusion Is More Complex Than Data Processing: A Proof (in press), Robert Alvarez, Salvador Ruiz, Martine C. Ceberio, Vladik Y. Kreinovich.
Effectiveness Evaluations of Optical Color Fuzzy Computing River Publishing (2024), Victor L. Timchenko, Vladik Y. Kreinovich, Yuriy P. Kondratenko, Volodymir Horbov.
Equivalence between TSK Fuzzy Systems with Triangular Membership Functions and Neural Networks with ReLU Activation on the Real Line Proceedings of the NAFIPS International Conference on Fuzzy Systems, Soft Computing, and Explainable AI NAFIPS'2024, South Padre Island, Texas, May 27-29, 2024 (in press), Barnabas Bede, Vladik Y. Kreinovich, Peter Toth.
Finite Fields -- A Possible Way to Avoid Infinities in Physical Computations Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 6, 2024 (2024), David Sanchez , Vladik Y. Kreinovich.
For Discrete-Time Linear Dynamical Systems under Interval Uncertainty, Predicting Two Moments Ahead Is NP-Hard Proceedings of the 10th International Workshop on Reliable Engineering Computing REC'2024, Beijing, China, October 26-27, 2024 (in press), Luc Jaulin, Olga M. Kosheleva, Vladik Y. Kreinovich.
From Aristotle to Newton, from Sets to Fuzzy Sets, and from Sigmoid to ReLU: What Do All These Transitions Have in Common? Proceedings of the NAFIPS International Conference on Fuzzy Systems, Soft Computing, and Explainable AI NAFIPS'2024, South Padre Island, Texas, May 27-29, 2024 (in press), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
From Quantifying and Propagating Uncertainty to Quantifying and Propagating Both Uncertainty and Reliability: Practice-Motivated Approach to Measurement Planning and Data Processing Information Processing and Management of Uncertainty in Knowledge-Based Systems, Proceedings of the 20th International Conference IPMU 2024, Lisbon, Portugal, July 22-26, 2024. (in press), Niklas Winnewisser, Michael Beer, Vladik Y. Kreinovich, Olga M. Kosheleva.
Fuzzy Theory and Its Applications: Proceedings of IFSA 2023 Springer (in press), Byung-Jae Choi, Frank Chung-Hoon Rhee, Vladik Y. Kreinovich.
Gifted and Talented: With Others? Separately? Mathematical Analysis of the Problem Proceedings of the 25th Annual Conference on Information Technology Education SIGITE'24, El Paso, Texas, October 10-12, 2024 (in press), Olga M. Kosheleva, Vladik Y. Kreinovich.
Global survey on affects and effects caused by the emergence of autonomous organizations: bitcoin adoption Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 6, 2024 (2024), Iqtiar Siddique, Vladik Y. Kreinovich, Richard A. Posthuma, Eric D. Smith.
How Difficult Is It to Comprehend a Program That Has Significant Repetitions: Fuzzy-Related Explanations of Empirical Result Proceedings of the NAFIPS International Conference on Fuzzy Systems, Soft Computing, and Explainable AI NAFIPS'2024, South Padre Island, Texas, May 27-29, 2024 (in press), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Fairly Allocate Safety Benefits of Self-Driving Cars Proceedings of the 9th World Conference on Soft Computing, Baku, Azerbaijan, June 3-5, 2024 (in press), Fernando Munoz, Christian Servin, Vladik Y. Kreinovich.
How to Gauge Inequality and Fairness: A Complete Description of All Decomposable Versions of Theil Index Proceedings of the NAFIPS International Conference on Fuzzy Systems, Soft Computing, and Explainable AI NAFIPS'2024, South Padre Island, Texas, May 27-29, 2024 (in press), Saeid Tizpaz Niari, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Make a Decision under Interval Uncertainty If We Do Not Know the Utility Function Abstracts of the 9th World Conference on Soft Computing, Baku, Azerbaijan, September 24-27, 2024. (2024), Vladik Y. Kreinovich.
How to Make a Decision under Interval Uncertainty If We Do Not Know the Utility Function Proceedings of the 9th World Conference on Soft Computing, Baku, Azerbaijan, June 3-5, 2024 (in press), Jeffrey Escamilla, Vladik Y. Kreinovich.
How to Make a Decision under Interval Uncertainty If We Do Not Know the Utility Function Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 6, 2024 (2024), Jeffrey Escamilla, Vladik Y. Kreinovich.
How to Make a Neural Network Learn from a Small Number of Examples -- and Learn Fast: An Idea Proceedings of the 9th World Conference on Soft Computing, Baku, Azerbaijan, June 3-5, 2024 (in press), Chitta Baral, Vladik Y. Kreinovich.
How to Make AI More Reliable Proceedings of the 10th International Workshop on Reliable Engineering Computing REC'2024, Beijing, China, October 26-27, 2024 (in press), Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Propagate Uncertainty via AI Algorithms Proceedings of the 10th International Workshop on Reliable Engineering Computing REC'2024, Beijing, China, October 26-27, 2024 (in press), Olga M. Kosheleva, Vladik Y. Kreinovich.
Hybrid fuzzy-color computing based on optical logical architecture Proceedings of the 6th International Intelligent and Fuzzy Systems Conference INFUS 2024, Canakkale, Turkey, July 16-18, 2024 (2024), Victor Timchenko, Vladik Y. Kreinovich, Yuriy Kondratenko, Volodimir Horbov.
In Practice, Estimates Based on Gaussian Uncertainty Are More Accurate Than Interval Estimates Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 6, 2024 (2024), Kristalys Ruiz-Rohena, Vladik Y. Kreinovich.
Interval-Related Talks at the 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU 2024 Reliable Computing 31 (2024), Vladik Y. Kreinovich.
Interval-Related Talks at the IEEE World Congress on Computational Intelligence WCCI 2024 Reliable Computing 31 (2024), Vladik Y. Kreinovich.
Interval-Related Talks at the NAFIPS International Conference on Fuzzy Systems, Soft Computing, and Explainable AI NAFIPS 2024 (South Padre Island, Texas, USA, May 27-29, 2024) Reliable Computing 31 (2024), Olga M. Kosheleva, Vladik Y. Kreinovich.
Just-in-accuracy: mobile approach to uncertainty Journal of Mobile Multimedia 20 3 (in press), Martine C. Ceberio, Christoph Q. Lauter, Vladik Y. Kreinovich.
Localizing robots using neural networks with interval data Proceedings of the 10th International Workshop on Reliable Engineering Computing REC'2024, Beijing, China, October 26-27, 2024. (in press), Edwin Tomy George, Luc Jaulin, Vladik Y. Kreinovich, Christoph Q. Lauter, Martine C. Ceberio.
McFadden's Discrete Choice and Softmax under Interval (and Other) Uncertainty: Revisited Proceedings of the NAFIPS International Conference on Fuzzy Systems, Soft Computing, and Explainable AI NAFIPS'2024, South Padre Island, Texas, May 27-29, 2024 (in press), Bartlomiej Kubica, Olga M. Kosheleva, Vladik Y. Kreinovich.
More Efficient Computation of the Economic Equilibrium Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 6, 2024 (2024), Gustavo Rubio, Elise Wilcher, Nataliya Kalashnykova, Olga M. Kosheleva, Vladik Y. Kreinovich.
Number Representation With Varying Number of Bits Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 6, 2024 (2024), Anuradha Choudhury, Md Ahsanul Haque, Saeefa Nowmi, Ahmed Ryen, Sabrina Saika, Vladik Y. Kreinovich.
Number Representation With Varying Number of Bits Proceedings of the 9th World Conference on Soft Computing, Baku, Azerbaijan, June 3-5, 2024 (in press), Anuradha Choudhury, Md Ahsanul Haque, Saeefa Nowmi, Vladik Y. Kreinovich.
Paradox of Causality and Paradoxes of Set Theory Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 6, 2024 (2024), Alondra Baquier, Bradley Beltran, Gabriel Miki-Silva, Olga M. Kosheleva, Vladik Y. Kreinovich.
Paradox of Causality and Paradoxes of Set Theory Proceedings of the 9th World Conference on Soft Computing, Baku, Azerbaijan, June 3-5, 2024 (in press), Alondra Baquier, Bradley Beltran, Gabriel Miki-Silva, Olga M. Kosheleva, Vladik Y. Kreinovich.
Predicting Fairness of ML Software Configurations Proceedings of the International Conference on Predictive Models and Data Analytics in Software Engineering PROMISE 2024, Porto de Galinhas, Brazil, July 16, 2024 (in press), Salvador Robles Herrera, Verya Monjezi, Vladik Y. Kreinovich, Ashutosh Trivedi, Saeid Tizpaz Niari.
Somewhat Surprisingly, (Subjective) Fuzzy Technique Can Help to Better Combine Measurement Results and Expert Estimates into a Model with Guaranteed Accuracy: Digital Twins and Beyond Proceedings of the NAFIPS International Conference on Fuzzy Systems, Soft Computing, and Explainable AI NAFIPS'2024, South Padre Island, Texas, May 27-29, 2024 (in press), Niklas Winnewisser, Michael Beer, Olga M. Kosheleva, Vladik Y. Kreinovich.
There is still plenty of room at the bottom: Feynman's vision of quantum computing 65 years later River Publishers (2024), Alexis Lupo, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Bernstein Polynomials: Yet Another Explanation Proceedings of the NAFIPS International Conference on Fuzzy Systems, Soft Computing, and Explainable AI NAFIPS'2024, South Padre Island, Texas, May 27-29, 2024 (in press), Olga M. Kosheleva, Vladik Y. Kreinovich.
Why the Simplest or the Most Beautiful Solution Is Often the Best Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 6, 2024. (2024), Vanessa Chavez de la Rosa, Zaul Gomez, Vladik Y. Kreinovich.
Why triangular smoothing? Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 6, 2024 (2024), Shova Kuikel, Bidur Niroula, Vladik Y. Kreinovich.
Why Two Fish Follow Each Other but Three Fish Form a School: A Symmetry-Based Explanation Proceedings of the 9th World Conference on Soft Computing, Baku, Azerbaijan, June 3-5, 2024 (in press), Shahnaz Shahbazova, , Vladik Y. Kreinovich.
A review of "Bounding imprecise failure probabilities in structural mechanics based on maximum standard deviation" by M. Fina, C. Lauff, M. G. R. Faes, M. A. Valdebenito, W. Wagner, and S. Freitag International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 32 1 (2024), Vladik Y. Kreinovich.
A review of "Multilevel multiplicative interval uncertainty in linear structural analysis" by R. L. Mullen and R. L. Muhanna International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 32 1 (2024), Vladik Y. Kreinovich.
Algebraic Product Is the Only 'And-Like'-Operation for Which Normalized Intersection Is Associative: A Proof Abstracts of the 5th International Conference on Artificial Intelligence and Computational Intelligence AICI'2024, Hanoi, Vietnam, January 13-14, 2024 (2024), Thierry Denoeux, Vladik Y. Kreinovich.
Algebraic Product Is the Only 'And-Like'-Operation for Which Normalized Intersection Is Associative: A Proof Springer (2024), Theirry Denoeux, Vladik Y. Kreinovich.
From fuzzy to mobile fuzzy Journal of Mobile Multimedia 20 3 (in press), Olga M. Kosheleva, Vladik Y. Kreinovich, Victor L. Timchenko, Yuriy P. Kondratenko.
How to Deal with Inconsistent Intervals: Utility-Based Approach Can Overcome the Limitations of the Purely Probability-Based Approach Springer (2024), Kittawit Autchariyapanitkul, Tomoe Entani, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Estimate Unknown Unknowns: From Cosmic Light to Election Polls Abstracts of the 5th International Conference on Artificial Intelligence and Computational Intelligence AICI'2024, Hanoi, Vietnam, January 13-14, 2024 (2024), Talha Azfar, Vignesh Ponraj, , Vladik Y. Kreinovich, Phuong H. Nguyen.
How to Estimate Unknown Unknowns: From Cosmic Light to Election Polls Springer (2024), Talha Azfar, Vignesh Ponraj, Vladik Y. Kreinovich, Phuong H. Nguyen.
How to Make Machine Learning Financial Recommendations More Fair: Theoretical Explanation of Empirical Results Springer (2024), Tho M. Nguyen, Saeid Tizpaz Niari, Vladik Y. Kreinovich.
Linear Regression under Partial Information Springer (2024), Tho M. Nguyen, Saeid Tizpaz Niari, Vladik Y. Kreinovich.
Logical Platforms for Mobile Application in Decision Support Systems Based on Color Information Processing Journal of Mobile Multimedia 20 3 (2024), Victor Timchenko, Yuriy Kondratenko, Vladik Y. Kreinovich.
Machine Learning and Other Soft Computing Techniques: Biomedical and Related Applications Springer (2024), Phuong H. Nguyen, Chau T. Nguyen, Vladik Y. Kreinovich.
Optimal Transport Statistics for Economics and Related Topics Springer (2024), Thach N. Nguyen, Vladik Y. Kreinovich, Ha T. Doan, Trung D. Nguyen.
Partial Identification in Econometrics and Related Topics Springer (2024), Thach N. Nguyen, Trung D. Nguyen, Ha T. Doan, Vladik Y. Kreinovich.
Preface to the book "Machine Learning and Other Soft Computing Techniques: Biomedical and Related Applications" Springer (2024), Phuong H. Nguyen, Chau T. Nguyen, Vladik Y. Kreinovich.
Preface to the book "Machine Learning for Econometrics and Related Topics" Springer (2024), Vladik Y. Kreinovich.
Preface to the book "Partial Identification in Econometrics and Related Topics" Springer (2024), Thach N. Nguyen, Trung D. Nguyen, Ha T. Doan, Vladik Y. Kreinovich.
Preface to the book: Boris Kovalerchuk, Kava Nazemi, Razvan Andonie, Nuno Datia, and Ebad Banissi (eds.), "Artificial Intelligence and Visualization: Advancing Visual Knowledge Discovery" Springer (2024), Vladik Y. Kreinovich.
Towards a Psychologically Natural Relation Between Colors and Fuzzy Degrees Abstracts of the 5th International Conference on Artificial Intelligence and Computational Intelligence AICI'2024, Hanoi, Vietnam, January 13-14, 2024 (2024), Victor L. Timchenko, Yuriy P. Kondratenko, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
Towards a Psychologically Natural Relation Between Colors and Fuzzy Degrees Springer (2024), Victor L. Timchenko, Yuriy P. Kondratenko, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
Usually, Either Left and Right Brains Are Equally Active or Only One of Them Is Active: First-Principles Explanation Springer (2024), Julio C. Urenda, Vladik Y. Kreinovich.
We Can Always Reduce a Non-Linear Dynamical System to Linear - at Least Locally - But Does It Help? Abstracts of the 5th International Conference on Artificial Intelligence and Computational Intelligence AICI'2024, Hanoi, Vietnam, January 13--14, 2024 (2024), Orsolya Csiszar, Gabor Csiszar, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
We Can Always Reduce a Non-Linear Dynamical System to Linear - at Least Locally - But Does It Help? Springer (2024), Orsolya Csiszar, Gabor Csiszar, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
When Is a Single 'And'-Condition Enough? Acta Polytechnica Hungarica 21 10 (2024), Olga M. Kosheleva, Vladik Y. Kreinovich.
Which Random-Set Representation of a Fuzzy Set Is the Simplest? Springer (in press), Olga M. Kosheleva, Vladik Y. Kreinovich, Hung T. Nguyen.
Why Bump Reward Function Works Well In Training Insulin Delivery Systems Abstracts of the 5th International Conference on Artificial Intelligence and Computational Intelligence AICI'2024, Hanoi, Vietnam, January 13-14, 2024 (2024), Lehel Denes-Fazakas, Laszlo Szylagyi, Gyorgy Eigner, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
Why Bump Reward Function Works Well In Training Insulin Delivery Systems Springer (2024), Lehel Denes-Fazakas, Laszlo Szilagyi, Gyorgy Eigner, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
Wormholes, Superfast Computations, and Selivanov's Theorem Siberian Advances in Mathematics 34 2 (2024), Olga M. Kosheleva, Vladik Y. Kreinovich.
Economy-Related Emotional Attitudes Towards Other People: How Can We Explain Them? Springer (2024), Christopher Reyes, Le C. Van, Vladik Y. Kreinovich.
Fair Bankruptcy Solutions Under Interval Uncertainty Springer (2024), Uyen Pham, Olga M. Kosheleva, Vladik Y. Kreinovich.
Hawthorne Effect: An Explanation Based on Decision Theory Springer (2024), Sofia Holguin, Vladik Y. Kreinovich, Phuong H. Nguyen.
Preface to the book "Optimal Transport Statistics for Economics and Related Topics" Springer (2024), Thach N. Nguyen, Vladik Y. Kreinovich, Ha T. Doan, Trung D. Nguyen.
Why Quantiles Are a Good Description of Volatility in Economics: An Alternative Explanation Springer (2024), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich, Kittawit Autchariyapanitkul.
A review of "A boundary approach for set inversion" by Luc Jaulin International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 31 2 (2023), Vladik Y. Kreinovich.
A review of "A concept for data-driven computational mechanics in the presence of polymorphic uncertain properties" by S. Zschocke, F. Leichsenring, W. Graf, and M. Kaliske International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 31 6 (2023), Vladik Y. Kreinovich.
A review of "Against misleading technocratic precision in research evaluation and wider policy -- A response to Franzoni and Stephan (2023), `uncertainty and risk-taking in science'" by A. Stirling International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 31 5 (2023), Vladik Y. Kreinovich.
A review of "Hybrid Interval-Probabilistic Localization in Building Maps'' by A. Ehambram, L. Jaulin, and B. Wagner International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 31 4 (2023), Vladik Y. Kreinovich.
A review of "Interval Methods for Solving Nonlinear Constraint Satisfaction, Optimization, and Similar Problems: from Inequalities Systems to Game Solutions" by B. J. Kubica International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 31 2 (2023), Vladik Y. Kreinovich.
A review of "Philosophies of Structural Safety and Reliability" by V. Reizer and I. Elishakoff International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 31 2 (2023), Vladik Y. Kreinovich.
A review of "Realistic optimal tolerant solution of the quadratic interval equation and determining the optimal control decision on the example of plant fertilization" by A. Piegat and M. Plucinski International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 31 5 (2023), Vladik Y. Kreinovich.
A review of "Towards a framework for non-intrusive uncertainty propagation in the preliminary design of aircraft systems'' by I. Ioannou, P. O. Hristov, H. K. Yong, R. Marsh, E. Silva, A. Sobester, and S. Ferson International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 31 4 (2023), Vladik Y. Kreinovich.
A review of "Uncertainty propagation of missing data signals with the interval discrete Fourier transform'' by M. Behrendt, M. de Angelis, and M. Beer International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 31 4 (2023), Vladik Y. Kreinovich.
A review of "Unifying concurrent objects and distributed tasks: interval-linearizability" by A. Castaneda, S. Rajsbaum, and M. Raynal, "A linearizability-based hierarchy for concurrent specifications", by A. Castaneda, S. Rajsbaum, and M. Raynal, and "Concurrent specifications beyond linearizability" by E. Goubalt, J. Ledent, and S. Mimram International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 31 6 (2023), Vladik Y. Kreinovich.
A review of "Zonotope and Gaussian Kalman filters based state estimation algorithm for linear system with dual noise term'' by Y. Zhan, Z. Wang, Y. Wang, J. H. Park, and Z. Ji International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 31 5 (2023), Vladik Y. Kreinovich.
An Arbitrary Preference Relation Can Be Represented in Qualitative Choice Logic: A Remark Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 1, 2023. (2023), Olga M. Kosheleva, Vladik Y. Kreinovich, Aldo Venzor Nava.
Can We Uniquely Reconstruct a Function from Measurements in Which Input Is Known with Interval Uncertainty? Abstracts of the 30th Joint UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, October 28, 2023 (2023), Enrique Aguilar, Christian Revilla, Vladik Y. Kreinovich.
Causality: Hypergraphs, Matter of Degree, Foundations of Cosmology Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Cliff Joslyn, Andres Ortiz-Minoz, Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, Vladik Y. Kreinovich.
Complex-Valued Interval Computations Are NP-Hard Even for Single Use Expressions Proceedings of the 2023 Annual Conference of North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Martine C. Ceberio, Vladik Y. Kreinovich, Olga M. Kosheleva, Guenter Mayer.
Computing at Least One of Two Roots of a Polynomial is, in General, not Algorithmic Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Vladik Y. Kreinovich.
Conflict Situations Are Inevitable When There Are Many Participants: A Proof Based on the Analysis of Aumann-Shapley Value Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Sofia Holguin, Vladik Y. Kreinovich.
Dr. Gregory Tseytin Bulletin of the European Association of Theoretical Computer Science (EATCS) (in press), Sergei N. Artemov, Vladik Y. Kreinovich.
Equivalence Between 1-D Takagi-Sugeno Fuzzy Systems with Triangular Membership Functions and Neural Networks with ReLU Activation Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Barnabas Bede, Vladik Y. Kreinovich, Peter Toth.
Everything Is a Matter of Degree: The Main Idea Behind Fuzzy Logic Is Useful in Geosciences and in Authorship Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Christian Servin, Aaron A. Velasco, Edgar Daniel Rodriguez Velasquez, Vladik Y. Kreinovich.
Everything Is a Matter of Degree: The Main Idea Behind Fuzzy Logic Is Useful in Geosciences and in Authorship Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Christian Servin, Aaron A. Velasco, Edgar Daniel Rodriguez Velasquez, Vladik Y. Kreinovich.
Fast -- Asymptotically Optimal -- Methods for Determining the Optimal Number of Features Proceedings of the Tenth International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM 2023, Kanazawa, Japan, November 2-4, 2023 1 123-128 (2023), Saeid Tizpaz Niari, Luc Longpré, Olga M. Kosheleva, Vladik Y. Kreinovich.
Faster Algorithms for Estimating the Mean of a Quadratic Expression under Uncertainty Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Martine C. Ceberio, Vladik Y. Kreinovich, Olga M. Kosheleva, Lev Ginzburg.
Fuzzy Color Computing Based on Optical Logical Architecture Proceedings of the International Conference on Intelligent and Fuzzy Systems INFUS'2023, Istanbul, Turkey, August 22-24, 2023 (2023), Victor Timchenko, Yurij Kondratenko, Oleksij Kozlov, Vladik Y. Kreinovich.
Fuzzy Mathematics under Non-Minimal "And"-Operations (t-Norms): Equivalence Leads to Metric, Order Leads to Kinematic Metric, Topology Leads to Area or Volume Proceedings of the 20th World Congress of the International Fuzzy Systems Association IFSA'2023, Daegu, South Korea, August 20-23, 2023 (2023), Purbita Jana, Olga M. Kosheleva, Vladik Y. Kreinovich.
Fuzzy Mathematics under Non-Minimal `And'-Operations (t-Norms): Equivalence leads to Metric, Order Leads to Kinematic Metric, Topology Leads to Area or Volume Abstracts of the 20th World Congress of the International Fuzzy Systems Association IFSA'2023, Daegu, South Korea, August 20-23, 2023 (2023), Purbita Jana, Olga M. Kosheleva, Vladik Y. Kreinovich.
Fuzzy Techniques Explain the Effectiveness of ReLU Activation Function in Deep Learning Abstracts of the International Seminar on Computational Intelligence ISCI'2023, Tijuana, Mexico, August 30-31, 2023 (in press), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
Guest Editorial: Uncertainty in Economics and Finance International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 31 Supplement 2 (2023), Hung T. Nguyen, Vladik Y. Kreinovich.
High-Impact Low-Probability Events Are Even More Important Than It Is Usually Assumed Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Aaron A. Velasco, Olga M. Kosheleva, Vladik Y. Kreinovich.
High-Impact Low-Probability Events Are Even More Important Than It Is Usually Assumed Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Aaron A. Velasco, Olga M. Kosheleva, Vladik Y. Kreinovich.
How Can There Be Objective Imprecise Probability Abstracts of the 30th Joint UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, October 28, 2023 (2023), Vladik Y. Kreinovich, Olga M. Kosheleva, Luc Longpré.
How Measurement-Related Ideas Can Help Us Use Expert Knowledge When Making Decisions: Three Case Studies Springer (2023), Edgar Rodriguez, Olga M. Kosheleva, Vladik Y. Kreinovich.
How People Make Decisions Based on Prior Experience: Formulas of Instance-Based Learning Theory (ILBT) Follow from Scale Invariance Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Palvi Aggarwal, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Combine Probabilistic and Fuzzy Uncertainty: Theoretical Explanation of Clustering-Related Empirical Result Abstracts of the 20th World Congress of the International Fuzzy Systems Association IFSA'2023, Daegu, South Korea, August 20-23, 2023 (2023), Laszlo Szilagyi, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Combine Probabilistic and Fuzzy Uncertainty: Theoretical Explanation of Clustering-Related Empirical Result Proceedings of the 20th World Congress of the International Fuzzy Systems Association IFSA'2023, Daegu, South Korea, August 20-23, 2023 (2023), Laszlo Szilagyi, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Deal with Infinities Abstracts of the 30th Joint UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, October 28, 2023 (2023), Jeffrey L. Vanarsdall, Dario Vazquez, Vladik Y. Kreinovich.
How to Efficiently Propagate P-Box Uncertainty Abstracts of International Conference on Advanced Mathematical Tools in Metrology and Testing AMCTM 2023, online, September 26-28, 2023 (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Estimate Unknown Unknowns: From Cosmic Light to Election Polls Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 1, 2023 (2023), Talha Azfar, Vignesh Ponraj, Vladik Y. Kreinovich.
How to Explain Empirical Metric on the Set of Colors Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 1, 2023 (2023), Alejandra Maciel Cuevas, Maria Lizeth Reyna Cruz, Vladik Y. Kreinovich.
How to Make a Neural Network Learn from a Small Number of Examples -- and Learn Fast: An Idea Abstracts of the IEEE Conference on Systems, Man, and Cybernetics, Honolulu, Hawaii, October 1-4, 2023 (2023), Chitta Baral, Vladik Y. Kreinovich.
How to Make Decisions Under Interval Uncertainty: Description of All Reasonable Partial Orders on the Set of All Intervals Abstracts of the 20th World Congress of the International Fuzzy Systems Association IFSA'2023, Daegu, South Korea, August 20-23, 2023 (2023), Tiago M. Costa, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Make Decisions Under Interval Uncertainty: Description of All Reasonable Partial Orders on the Set of All Intervals Proceedings of the 20th World Congress of the International Fuzzy Systems Association IFSA'2023, Daegu, South Korea, August 20-23, 2023 (2023), Tiago M. Costa, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Propagate Interval (and Fuzzy) Uncertainty: Optimism-Pessimism Approach Abstracts of the 20th World Congress of the International Fuzzy Systems Association IFSA'2023, Daegu, South Korea, August 20-23, 2023 (2023), Vinicius Wasques, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Propagate Interval (and Fuzzy) Uncertainty: Optimism-Pessimism Approach Proceedings of the 20th World Congress of the International Fuzzy Systems Association IFSA'2023, Daegu, South Korea, August 20-23, 2023 (2023), Vinicius F. Waques, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Select A Model If We Know Probabilities with Interval Uncertainty Asian Journal of Economics and Banking (in press), Vladik Y. Kreinovich.
IEEE Conference on Artificial Intelligence, Santa Clara, California, June 5-6, 2023 IEEE Systems, Man, and Cybernetics eNewsletter 77 (2023), Vladik Y. Kreinovich.
Integrity First, Service Before Self, and Excellence: Core Values of US Air Force Naturally Follow from Decision Theory Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Interval-Valued and Set-Valued Extensions of Discrete Fuzzy Logics, Belnap Logic, and Color Optical Computing Proceedings of the Biennial Conference of the European Society for Fuzzy Logic and Technology EUSFLAT'2023, Palma de Mallorca, Spain, September 4-8, 2023 (2023), Victor L. Timchenko, Yuri P. Kondratenko, Vladik Y. Kreinovich.
Is Fully Explainable AI Even Possible: Fuzzy-Based Analysis Abstracts of the 20th World Congress of the International Fuzzy Systems Association IFSA'2023, Daegu, South Korea, August 20-23, 2023 (2023), Miroslav Svitek, Olga M. Kosheleva, Vladik Y. Kreinovich.
Is Fully Explainable AI Even Possible: Fuzzy-Based Analysis Proceedings of the 20th World Congress of the International Fuzzy Systems Association IFSA'2023, Daegu, South Korea, August 20-23, 2023 (2023), Miroslav Svitek, Olga M. Kosheleva, Vladik Y. Kreinovich.
Let Us Build a Seamless Pathway from High School to PhD Abstracts of the Elevating Student Success through Collaboration and Innovation Conference, El Paso, Texas, October 11-13, 2023 (2023), Vladik Y. Kreinovich, Christian Servin, Olga M. Kosheleva, Fernando Munoz.
Logical Decision Networks Based on the Optical Coloroids Proceedings of the 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications IDAACS 2923, Dortmund, Germany, September 7-9, 2023 (2023), Victor Timchenko, Yuriy Kondratenko, Vladik Y. Kreinovich.
Logical Inference Inevitably Appears: Fuzzy-Based Explanation Abstracts of the 20th World Congress of the International Fuzzy Systems Association IFSA'2023, Daegu, South Korea, August 20-23, 2023 (2023), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich, Orsolya Cziszar.
Logical Inference Inevitably Appears: Fuzzy-Based Explanation Proceedings of the 20th World Congress of the International Fuzzy Systems Association IFSA'2023, Daegu, South Korea, August 20-23, 2023 (2023), Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich, Orsolya Csiszar.
Multi-Objective Optimization: Linear Combinations Do Not Cover Pareto Set, So What Does? Abstracts of the 30th Joint UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, October 28, 2023 (2023), Cesar F. Gomez-Guillen, Miguel A. Sepulveda, Vladik Y. Kreinovich.
Natural Color Interpretation of Interval-Valued Fuzzy Degrees Abstracts of the 20th World Congress of the International Fuzzy Systems Association IFSA'2023, Daegu, South Korea, August 20-23, 2023 (2023), Victor Timchenko, Yuriy Kondratenko, Vladik Y. Kreinovich, Olga M. Kosheleva.
Natural Color Interpretation of Interval-Valued Fuzzy Degrees Proceedings of the 20th World Congress of the International Fuzzy Systems Association IFSA'2023, Daegu, South Korea, August 20-23, 2023 (2023), Victor Timchenko, Yuri Kondratenko, Vladik Y. Kreinovich, Olga M. Kosheleva.
Need for topological quantum computing Abstracts of the Xth International Scientific Conference "Mathematical and Computer Modeling", Omsk, Russia, February 10, 2023 (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
Need for topological quantum computing Abstracts of the Xth International Scientific Conference "Mathematical and Computer Modeling", Omsk, Russia, February 10, 2023 (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
People Prefer More Information About Uncertainty, But Perform Worse When Given This Information: An Explanation of the Paradoxical Phenomenon Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Jieqiong Zhao, Olga M. Kosheleva, Vladik Y. Kreinovich.
Relation between the number of nucleons in the universe and the largest number of nucleons in an atom: graph-theoretic explanation Abstracts of the Xth International Scientific Conference "Mathematical and Computer Modeling", Omsk, Russia, February 10, 2023 (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
Relation between the number of nucleons in the universe and the largest number of nucleons in an atom: graph-theoretic explanation Abstracts of the Xth International Scientific Conference "Mathematical and Computer Modeling", Omsk, Russia, February 10, 2023 (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
Review of the book Anatolii I. Shevchenko (ed.), "Strategy for Artificial Intelligence Development in Ukraine", Kyiv, Ukraine, 2023 Science and Education Publ. (2023), Vladik Y. Kreinovich.
Systems Approach Explains a Mysterious Slowdown Effect in Climate Economics Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 1, 2023. (2023), Mohammad Akidul Hoque, Md. Isteak Uddin, Vladik Y. Kreinovich.
The architecture of optical logical coloroid with fuzzy computing Proceedings of the 4th International Workshop on Intelligent Information Technologies & Systems of Information Security IntelITSIS'2023, Khmelnitsky, Ukraine, March 22-24, 2023, CEUR Workshop Proceedings 3373 (2023), Victor L. Timchenko, Yuri P. Kondratenko, Vladik Y. Kreinovich.
Theoretical Explanation of Bernstein Polynomials' Efficiency Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Vladik Y. Kreinovich.
Towards Decision Making Under Interval Uncertainty Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 1, 2023 (2023), Juan A. Lopez, Vladik Y. Kreinovich.
Towards Decision Making Under Interval Uncertainty Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Juan A. Lopez, Vladik Y. Kreinovich.
Towards green machine learning Abstracts of the Xth International Scientific Conference "Mathematical and Computer Modeling", Omsk, Russia, February 10, 2023 (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
Towards green machine learning Abstracts of the Xth International Scientific Conference "Mathematical and Computer Modeling", Omsk, Russia, February 10, 2023 (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
Uncertainty Quantification for Results of AI-Based Data Processing: Towards Feasible Algorithms Abstracts of International Conference on Advanced Mathematical Tools in Metrology and Testing AMCTM 2023, online, September 26-28, 2023 (2023), Christoph Q. Lauter, Martine C. Ceberio, Vladik Y. Kreinovich, Olga M. Kosheleva.
What Do Goedel's Theorem and Arrow's Theorem Have in Common: A Possible Answer to Arrow's Question Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Miroslav Svitek, Olga M. Kosheleva, Vladik Y. Kreinovich.
What If an Interval Is Given by an Expert Who Is Not Sure? Abstracts of the 30th Joint UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, October 28, 2023 (2023), Arim Martin del Campo, Antonio I. Rosales, Vladik Y. Kreinovich.
What If We Use Ellipsoids Instead of p-Boxes? Abstracts of the 30th Joint UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, October 28, 2023 (2023), Miguel A. Flores, Joshua Salas, Javier Venegas, Vladik Y. Kreinovich.
Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation Abstracts of the IEEE Series of Symposia on Computational Intelligence SSCI 2023, Mexico City, Mexico, December 6-8, 2023 (2023), Lehel Denes-Fazakas, Laszlo Szilagyi, Gyorgy Eigner, Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation Proceedings of the IEEE Series of Symposia on Computational Intelligence SSCI 2023, Mexico City, Mexico, December 6-8, 2023 (in press), Lehel Denes-Fazakas, Laszlo Szylagyi, Gyorgy Eigner, Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
Which Fuzzy Implications Operations Are Polynomial? A Theorem Proves That This Can Be Determined by a Finite Set of Inequalities Abstracts of the 20th World Congress of the International Fuzzy Systems Association IFSA'2023, Daegu, South Korea, August 20-23, 2023 (2023), Sebastia Massanet, Olga M. Kosheleva, Vladik Y. Kreinovich.
Which Fuzzy Implications Operations Are Polynomial? A Theorem Proves That This Can Be Determined by a Finite Set of Inequalities Proceedings of the 20th World Congress of the International Fuzzy Systems Association IFSA'2023, Daegu, South Korea, August 20-23, 2023 (2023), Sebastia Massanet, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why 6-Valued Uncertainty Scale in Geosciences: Probability-Based Explanation Abstracts of the International Seminar on Computational Intelligence ISCI'2023, Tijuana, Mexico, August 30-31, 2023 (in press), Aaron A. Velasco, Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Cyberattacks Are Easier Than Cyberdefense Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 1, 2023 (2023), Estevan H. Ramos, Vladik Y. Kreinovich.
Why Earthquake Statistics Vary with Fault Size: An Invariance-Based Qualitative Explanation Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 1, 2023 (2023), Jannatun N. Jotey , Vladik Y. Kreinovich.
Why Fractional Fuzzy Proceedings of the Biennial Conference of the European Society for Fuzzy Logic and Technology EUSFLAT'2023, Palma de Mallorca, Spain, September 4-8, 2023 (2023), Mehran Mazandarani, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Fuzzy Control Is Often More Robust (and Smoother): A Theoretical Explanation Abstracts of the IEEE Series of Symposia on Computational Intelligence SSCI 2023, Mexico City, Mexico, December 6-8, 2023 (2023), Orsolya Csiszar, Gabor Csiszar, Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
Why Inverse Layers in Pavement? Why Zipper Fracking? Why Interleaving in Education? A General Explanation Proceedings of the Tenth International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM 2023, Kanazawa, Japan, November 2-4, 2023 1 (2023), Edgar Daniel Rodriguez Velasquez, Aaron A. Velasco, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Inverse Layers in Pavement? Why Zipper Fracking? Why Interleaving in Education? A General Explanation Proceedings of the Tenth International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM 2023, Kanazawa, Japan, November 2-4, 2023 1 (2023), Edgar Daniel Rodriguez Velasquez, Aaron A. Velasco, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Mania Leads to Risky Behavior Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 1, 2023 (2023), Mohammad T. Nazim, Monjur B. Shams, Vladik Y. Kreinovich.
Why Micro-Funding? Why Small Businesses Are Important? Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 1, 2023 (2023), Edwin Tomy George, Vladik Y. Kreinovich.
`In the Absence of Information, the Only Reasonable Negotiation Scheme Is Offering a Certain Percentage of the Original Request: A Proof Springer (2023), Miroslav Svitek, Olga M. Kosheleva, Vladik Y. Kreinovich.
A General Commonsense Explanation of Several Medical Results Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
A review of "Advances in Numerical Analysis Emphasizing Interval Data" by T. Allahviranloo, W. Pedrycz, and A. Esfandiari International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 31 3 (2023), Vladik Y. Kreinovich.
A review of "Deep Interval Neural Network in Computational Mechanics" by D. Betancourt and R. L. Muhanna International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 31 3 (2023), Vladik Y. Kreinovich.
A review of "Uncertainty Analysis of Fatigue Failure Using an Interval Approach" by M. Desch and M. Modares International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 31 3 (2023), Vladik Y. Kreinovich.
Academician Professor Janusz Kacprzyk Springer (2023), Yuriy P. Kondratenko, Vladik Y. Kreinovich, Witold Pedrycz, Arkadii Chikrii, Anna D. Gil-Lafuente.
An Argument in Favor of Piecewise-Constant Membership Functions Springer (2023), Marina Tuyako Mizukoshi, Weldon Lodwick, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Anomaly Detection in Crowdsourcing: Why Midpoints in Interval-Valued Approach Springer (2023), Alejandra De La Pena, Damian Gallegos Espinoza, Vladik Y. Kreinovich.
Applications of Fuzzy Techniques Springer (2023), Scott Dick, Vladik Y. Kreinovich, Pawan Lingras.
Aquatic Ecotoxicology: Theoretical Explanation of Empirical Formulas Springer (2023), Demetrius R. Hernandez, George M. Molina Holguin, Francisco Parra, Viviam Sanchez, Vladik Y. Kreinovich.
Artificial Intelligence in Control and Decision-making Systems Springer (2023), Yuriy P. Kondratenko, Vladik Y. Kreinovich, Witold Pedrycz, Arkadii Chikrii, Anna M. Gil-Lafuente.
Artificial Intelligence in Models, Methods, and Applications Springer (2023), Olga Dolinina, Igor Bessmertny, Alexander Brovko, Vladik Y. Kreinovich, Vitaly Pechenkin, Alexey Lvov, Vadim Zhmud.
Can Physics Attain Its Goals: Extending D'Agostino's Analysis to 21st Century and Beyond Springer (in press), Olga M. Kosheleva, Vladik Y. Kreinovich.
Computational Paradox of Deep Learning: A Qualitative Explanation Springer (2023), Jonatan Contreras, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
Computing the Range of a Function-of-Few-Linear-Combinations Under Linear Constraints: A Feasible Algorithm Springer (2023), Salvadot Robles, Martine C. Ceberio, Vladik Y. Kreinovich.
Data Processing under Fuzzy Uncertainty: Towards More Accurate Algorithms Springer (2023), Marina Tuyako Mizukoshi, Weldon Lodwick, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Deep Learning and Other Soft Computing Techniques: Biomedical and Related Applications Springer (2023), Phuong H. Nguyen, Vladik Y. Kreinovich.
Dielectric Barrier Discharge (DBD) Thrusters -- Aerospace Engines of the Future: Invariance-Based Analysis Springer (2023), Alexis Lupo, Vladik Y. Kreinovich.
Epistemic vs. Aleatory: Case of Interval Uncertainty Springer (2023), Marina Tuyako Mizukoshi, Weldon Lodwick, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Estimating Skewness and Higher Central Moments of an Interval-Valued Fuzzy Set Springer (2023), Juan Carlos Figueroa Garcia, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Everyone Is Above Average: Is It Possible? Is It Good? Springer (2023), , Vladik Y. Kreinovich.
Explaining an Empirical Formula for Bioreaction to Similar Stimuli (Covid-19 and Beyond) Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
Freedom of Will, Non-Uniqueness of Cauchy Problem, Fractal Processes, Renormalization, Phase Transitions, and Stealth Aircraft Springer (2023), MIroslav Svitek, Olga M. Kosheleva, Vladik Y. Kreinovich.
From Intervals to --? Towards a General Description of Validated Uncertainty Springer (2023), Vladik Y. Kreinovich, Gracaliz P. Dimuro, Antonio C. da Rocha Costa.
Fuzzy Or Neural, Type-1 Or Type-2 -- When Each Is Better: First-Approximation Analysis Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
Game-Theoretic Approach Explains -- on the Qualitative Level -- the Antigenic Map of Covid-19 Variants Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
Graph Approach to Uncertainty Quantification Springer (2023), Hector A. Reyes, Cliff Joslyn, Vladik Y. Kreinovich.
Grigory Samuilovich Tseytin Russian Mathematical Surveys 78 3 (2023), Sergei Artemov, Vladik Y. Kreinovich.
How Can the Opposite to a True Theory Be Also True? A Similar Talmudic Discussion Helps Make This Famous Bohr's Statement Logically Consistent Springer (2023), Miroslav Svitek, Vladik Y. Kreinovich.
How Hot Is Too Hot Springer (2023), Sofia Holguin, Vladik Y. Kreinovich.
How Order and Disorder Affect People's Behavior: An Explanation Springer (2023), Sofia Holguin, Vladik Y. Kreinovich.
How Probable is a Revolution? A Natural ReLU-Like Formula that Fits the Historical Data Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Get the Most Accurate Measurement-Based Estimates Springer (2023), Salvador Robles, Martine C. Ceberio, Vladik Y. Kreinovich.
How to Combine Expert Estimates? How to Estimate Probability in the Intersection of Two Populations? Springer (2023), Miroslav Svitek, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
How to Deal with Conflict of Interest Situations When Selecting the Best Submission Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Describe Hypothetic Truly Rare Events (with Probability 0) Springer (2023), Luc Longpré, Vladik Y. Kreinovich.
How to Describe Relative Approximation Error? A New Justification for Gustafson's Logarithmic Expression Springer (2023), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Detect (and Analyze) Independent Subsystems of a Black-Box (or Grey-Box) System Springer (2023), Saeid Tizpaz Niari, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Detect the Fundamental Frequency: Approach Motivated by Soft Computing and Computational Complexity Springer (2023), Eric A. Freudenthal, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Estimate The Present Serviceability Rating of a Road Segment: Explanation of an Empirical Formula Springer (2023), Edgar Daniel Rodriguez Velasquez, Vladik Y. Kreinovich.
How to Make Quantum Ideas Less Counter-Intuitive: A Simple Analysis of Measurement Uncertainty Can Help Springer (in press), Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Select a Representative Sample for a Family of Functions? Springer (2023), Leobardo Valera, Martine C. Ceberio, Vladik Y. Kreinovich.
How to Solve the Apportionment Paradox Springer (2023), Christopher Reyes, Vladik Y. Kreinovich.
How Viscosity of An Asphalt Binder Depends on Temperature: Theoretical Explanation of an Empirical Dependence Springer (2023), Edgar Daniel Rodriguez Velasquez, Vladik Y. Kreinovich.
Hunting Habits of Predatory Birds: Theoretical Explanation of an Empirical Formula Springer (2023), Adilene Alaniz, Jiovani Hernandez, Andres D. Munoz, Vladik Y. Kreinovich.
Interview with Laszlo Koczy Mathware and Soft Computing 28 1 (2023), Vladik Y. Kreinovich.
Monotonic Bit-Invariant Permutation-Invariant Metrics on the Set of All Infinite Binary Sequences Springer (2023), Irina Perfilieva, Vladik Y. Kreinovich.
Need for Optimal Distributed Measurement of Cumulative Quantities Explains the Ubiquity of Absolute and Relative Error Components Springer (2023), Hector Reyes, Aaron Brown, Jeffrey Escamilla, Ethan Kish, Vladik Y. Kreinovich.
Need for Techniques Intermediate Between Interval and Probabilistic Ones Proceedings of the International Conference on Parallel Processing and Applied Mathematics PPAM'2022, Gdansk, Poland, September 11-14, 2022 (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
Need to Combine Interval and Probabilistic Uncertainty: What Needs to Be Computed, What Can Be Computed, What Can Be Feasibly Computed, and How Physics Can Help Springer 2 (2023), Julio Urenda, Vladik Y. Kreinovich, Olga M. Kosheleva.
Non-Localized Physical Processes Can Help Speed up Computations, Be It Hidden Variables in Quantum Physics or Non-Localized Energy in General Relativity Springer (2023), Michael Zakharevich, Olga M. Kosheleva, Vladik Y. Kreinovich.
On Fusion of Soft and Hard Computing: Traditional ("Hard Computing") Optimal Rescaling Techniques Simplify Fuzzy Control Springer (2023), Hugh F. VanLangingham, Vladik Y. Kreinovich.
One More Physics-Based Explanation for Rectified Linear Neurons Springer (2023), Jonatan Contreras, Martine C. Ceberio, Vladik Y. Kreinovich.
Over-Measurement Paradox: Suspension of Thermonuclear Research Center and Need to Update Standards Springer (2023), Hector Reyes, Saeid Tizpaz Niari, Vladik Y. Kreinovich.
Physical Meaning Often Leads to Natural Derivations in Elementary Mathematics: On the Examples of Solving Quadratic and Cubic Equations Springer (2023), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
Preface to "Artificial Intelligence in Models, Methods, and Applications" Springer (2023), Olga Dolinina, Igor Bessmertny, Alexander Brovko, Vladik Y. Kreinovich, Vitaly Pechenkin, Alexey Lvov, Vadim Zhmud.
Preface to the book "Deep Learning and Other Soft Computing Techniques: Biomedical and Related Applications", Springer, Cham, Switzerland, 2023 Springer (2023), Phuong H. Nguyen, Vladik Y. Kreinovich.
Really Good Theorems Are Those That End Their Life as Definitions: Why Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
Resource Allocation for Multi-Tasking Optimization: Explanation of an Empirical Formula Springer (2023), Alan Gamez, Antionio Aguirre, Christian Cordova, Alberto Miranda, Vladik Y. Kreinovich.
Scale-Invariance-Based Pre-Processing Drastically Improves Neural Network Learning: Case Study of Diagnosing Lung Dysfunction in Children Springer 2 (2023), Nancy Avila, Julio Urenda, Nelly Gordillo, Vladik Y. Kreinovich, Shahnaz Shabazova.
Search Under Uncertainty Should be Randomized: A Lesson From the 2021 Nobel Prize in Medicine Springer (2023), Martine C. Ceberio, Vladik Y. Kreinovich.
Shape of an Egg: Towards a Natural Simple Universal Formula Springer (2023), Sofia Holguin, Vladik Y. Kreinovich.
Special Issue on Uncertainty in Economics and Finance International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 31 Supplement 2 (2023), Hung T. Nguyen, Vladik Y. Kreinovich.
Spiral Arms Around a Star: Geometric Explanation Springer (2023), Juan L. Puebla, Vladik Y. Kreinovich.
Standard Interval Computation Algorithm Is Not Inclusion-Monotonic: Examples Springer (2023), Marina Tuyako Mizukoshi, Weldon Lodwick, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Systems Approach Explains Why Low Heart Rate Variability Is Correlated with Depression (and Suicidal Thoughts) Springer (2023), Francisco Zapata, Eric D. Smith, Vladik Y. Kreinovich.
Towards Better Ways to Compute the Overall Grade for a Class Springer (2023), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
Unexpected Economic Consequence of Cloud Computing: A Boost to Algorithmic Creativity Springer (2023), Francisco Zapata, Eric D. Smith, Vladik Y. Kreinovich.
Uninorm-like parametric activation functions for human-understandable neural models Knowledge-Based Systems 260 (2023), Orsolya Csiszar, Luka Sara Pusztahazi, Lehel Denes-Fazakas, Michael Gashler, Vladik Y. Kreinovich, Gabor Csiszar.
Unreachable Statements Are Inevitable In Software Testing: Theoretical Explanation Springer (2023), Francisco Zapata, Eric D. Smith, Vladik Y. Kreinovich.
What About Generic "And"- and "Or"-Operations: from Levels of Certainty (Philosophical-Physical-Mathematical) to a Natural Interpretation of Quantum-Like Negative Degrees of Certainty Springer 2 (2023), Miroslav Svitek, Olga M. Kosheleva, Vladik Y. Kreinovich, Shahnaz Shahbazova.
What Is a Natural Probability Distribution on the Class of All Continuous Functions: Maximum Entropy Approach Leads to Wiener Measure Springer (2023), Vladik Y. Kreinovich, Saeid Tizpaz Niari.
What Is the Most Adequate Fuzzy Methodology? Springer (2023), Noah Velasco, Olga M. Kosheleva, Vladik Y. Kreinovich.
Which Interval-Valued Alternatives Are Possibly Optimal If We Use Hurwicz Criterion Springer (2023), Marina Tuyako Mizukoshi, Weldon Lodwick, Martine C. Ceberio, Vladik Y. Kreinovich.
Why Aspirational Goals: Geometric Explanation Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Color Optical Computing Springer (2023), Victor Timchenko, Yury Kondratenko, Vladik Y. Kreinovich.
Why Constraint Interval Arithmetic Techniques Work Well: A Theorem Explains Empirical Success Springer (2023), Barnabas Bede, Marina Tuyako Mizukoshi, Martine C. Ceberio, Vladik Y. Kreinovich, Weldon Lodwick.
Why Convex Combination Is an Effective Crossover Operation in Continuous Optimization: A Theoretical Explanation Springer (2023), Kelly Cohen, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Decision Paralysis Springer (2023), Sean Aguilar, Vladik Y. Kreinovich.
Why Decreased Gaps Between Brain Cells Cause Severe Headaches: A Symmetry-Based Geometric Explanation Springer (2023), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
Why Deep Neural Networks: Yet Another Explanation Springer (2023), Ricardo Lozano, Ivan Montoya Sanchez, Vladik Y. Kreinovich.
Why Five Stages of Solar Activity, Why Five Stages of Grief, Why Seven Plus Minus Two: A General Geometric Explanation Springer (2023), Miroslav Svitek, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why FLASH Radiotherapy Is Efficient: A Possible Explanation Springer (2023), Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
Why Hate: Analysis Based on Decision Theory Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Immunodepressive Drugs Often Make People Happier Springer (2023), Joshua Ramos, Ruth Trejo, Dario Vazquez, Vladik Y. Kreinovich.
Why in MOND -- Alternative Gravitation Theory -- a Specific Formula Works the Best: Complexity-Based Explanation Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
Why linear (and piecewise linear) models often successfully describe complex non-linear economic and financial phenomena: a fuzzy-based explanation Transactions on Fuzzy Sets and Systems 2 1 (2023), Hung T. Nguyen, Vladik Y. Kreinovich.
Why Menzerath's Law? Springer (2023), Julio Urenda, Vladik Y. Kreinovich.
Why Optimization Is Faster than Solving Systems of Equations: A Qualitative Explanation Springer (2023), Siyu Deng, Bimal KC, Vladik Y. Kreinovich.
Why Physical Power Laws Usually Have Rational Exponents Springer (2023), Edgar Daniel Rodriguez Velasquez, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Rarity Score Is a Good Evaluation of a Non-Fungible Token Springer (2023), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Rectified Power (RePU) Activation Functions Are Efficient in Deep Learning: A Theoretical Explanation Springer (2023), Laxman Bokati, Vladik Y. Kreinovich, Joseph Baca, Natasha Rovelli.
Why Self-Esteem Helps to Solve Problems: An Algorithmic Explanation Springer (2023), Oscar Ortiz, Henry Salgado, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Seneca Effect Springer (2023), Sean Aguilar, Vladik Y. Kreinovich.
Why Should Exactly 1/4 Be Returned to the Original Owner: An Economic Explanation of an Ancient Recommendation Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Some Theoretically Possible Representations of Natural Numbers Were Historically Used and Some Were Not: An Algorithm-Based Explanation Springer (2023), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Time Seems to Pass Slowly for Unpleasant Experiences and Quickly for Pleasant Experiences: An Explanation Based on Decision Theory Springer (2023), Laxman Bokati, Vladik Y. Kreinovich.
Why Would Anyone Invest in a High-Risk Low-Profit Enterprise? Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
Word Representation: Theoretical Explanation of an Empirical Fact Springer (2023), Leonel Escapita, Diana Licon, Madison Anderson, Diego Pedraza, Vladik Y. Kreinovich.
Zadeh's Legacy -- Successes and Challenges Springer (2023), Shahnaz N. Shahbazova, Ali M. Abbasov, Vladik Y. Kreinovich, Janusz Kacprzyk, Ildar Batyrshin.
Additional Spatial Dimensions Can Help Speed Up Computations Springer (2023), Luc Longpré, Olga M. Kosheleva, Vladik Y. Kreinovich.
An AlphaZero-Inspired Approach to Solving Search Problems Springer (2023), Evgeny Dantsin, Alexander Wolpert, Vladik Y. Kreinovich.
As Complexity Rises, Meaningful Statements Lose Precision -- but Why? Springer (2023), Miroslav Svitek, Olga M. Kosheleva, Vladik Y. Kreinovich.
Baudelaire's Ideas of Vagueness and Uniqueness in Art: Algorithm-Based Explanations Springer (2023), Luc Longpré, Olga M. Kosheleva, Vladik Y. Kreinovich.
Biomedical and Other Applications of Soft Computing Springer (2023), Phuong H. Nguyen, Vladik Y. Kreinovich.
Blessings, God, Sacrifices: Possible Rational Explanation of Biblical Ideas Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
Commonsense "And"-Operations Springer (2023), Javier Tellez, Wenbo Xie, Vladik Y. Kreinovich.
Decision Making under Uncertainty and Constraints: A Why-Book Springer (2023), Martine C. Ceberio, Vladik Y. Kreinovich.
Decision Making Under Uncertainty, with a Special Emphasis on Geosciences and Education Springer (2023), Laxman Bokati, Vladik Y. Kreinovich.
Decision Making Under Uncertainty: Cases When We Only Know an Upper Bound or a Lower Bound Springer (2023), Toshiki Kamio, Gavin Baechle, Vladik Y. Kreinovich.
Different Concepts, Similar Computational Complexity: Nguyen's Results about Fuzzy and Interval Computations 35 Years Later Springer 1 (2023), Hung T. Nguyen, Vladik Y. Kreinovich.
Dimension Compactification Naturally Follows from First Principles Springer (2023), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
Ethical Dilemma of Self-Driving Cars: Conservative Solution Springer 2 (2023), Christian Servin, Vladik Y. Kreinovich, Shahnaz Shabazova.
Extension to multi-dimensional problems of a fuzzy-based explainable and noise-resilient algorithm Springer (2023), Javier Viana, Stephan Ralescu, Kelly Cohen, Anca Ralescu, Vladik Y. Kreinovich.
Fault Detection in a Smart Electric Grid: Geometric Analysis Springer (2023), Hector Reyes, Dillon Trinh, Vladik Y. Kreinovich.
Fourier Transform and Other Quadratic Problems under Interval Uncertainty Springer (2023), Oscar Castillo, Christopher Ibarra, Vladik Y. Kreinovich, Michael Beer.
Freedom of Will, Physics, and Human Intelligence: An Idea Springer (2023), MIroslav Svitek, Vladik Y. Kreinovich, Phuong H. Nguyen.
Fuzzy Techniques, Laplace Indeterminacy Principle, and Maximum Entropy Approach Explain Lindy Effect and Help Avoid Meaningless Infinities in Physics Springer (2023), Julio Urenda, Sean Aguilar, Olga M. Kosheleva, Vladik Y. Kreinovich.
Godel's Proof of Existence of God Revisited Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
How the Pavement's Lifetime Depends on the Stress Level: An Explanation of the Empirical Formula Springer (2023), Edgar Daniel Rodriguez Velazquez, Vladik Y. Kreinovich, Olga M. Kosheleva, Phuong H. Nguyen.
How to Best Write Research Papers: Basic English? Sophisticated English? Springer (2023), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Gauge Students' Ability to Collaborate? Springer 2 61-68 (2023), Christian Servin, Olga M. Kosheleva, Shahnaz Shabazova, Vladik Y. Kreinovich.
How to Gauge the Quality of a Multi-Class Classification When Ground Truth Is Known With Uncertainty Springer (2023), Ricardo Mendez, Osagumwenro Osaretin, Vladik Y. Kreinovich.
How to Select Typical Objects Springer (2023), Mariana Benitez, Jeffrey Weidner, Vladik Y. Kreinovich.
How to Simulate If We Only Have Partial Information But We Want Reliable Results Springer (2023), Vladik Y. Kreinovich, Olga M. Kosheleva.
How to Teach Advanced Highly Motivated Students: Teaching Strategy of Iosif Yakovlevich Verebeichik Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Work? How to Study? Shall We Cram for the Exams? And How Is This Related to Life on Earth? Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
Is Our World Becoming Less Quantum? Springer (2023), Lidice Castro, Vladik Y. Kreinovich.
Lev Landau's Marital Advice Explained Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
Localized Learning: A Possible Alternative to Current Deep Learning Techniques Springer (2023), Javier Viana, Kelly Cohen, Anca Ralescu, Stephan Ralescu, Vladik Y. Kreinovich.
Preface to the book "Biomedical and Other Applications of Soft Computing" Springer (2023), Phuong H. Nguyen, Vladik Y. Kreinovich.
Preface to the book "Decision Making under Uncertainty and Constraints: A Why-Book" Springer (2023), Martine C. Ceberio, Vladik Y. Kreinovich.
Recent Developments and the New Directions of Research, Foundations, and Applications Springer (2023), Ali M. Abbasov, Shahnaz Shahbazova, Janusz Kacprzyk, Vladik Y. Kreinovich.
Selfish Gene Theory Explains Oedipus Complex Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
Shall We Ignore All Intermediate Grades? Springer (2023), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
What If There Are Too Many Outliers? Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
What Is 1/0 from the Practical Viewpoint: A Pedagogical Note Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
What Is a Reasonable Way to Make Predictions? Springer (2023), Leonardo Orea Amador, Vladik Y. Kreinovich.
Why 70/100 Is Satisfactory? Why Five Letter Grades? Why Other Academic Conventions? Springer (2023), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Base-20, Base-40, and Base-60 Number Systems? Springer (2023), Sean Aguilar, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Chomsky Normal Form: A Pedagogical Note Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Decimal System? Why Communities With More Than 150 Folks Tend to Split? New Consequences of the Seven Plus Minus Two Law Springer (2023), Leonardo Orea Amador, Vladik Y. Kreinovich.
Why Do People Become Addicted: Towards a Theoretical Explanation for Eyal's Experiment0Based Hook Model Springer (2023), Christopher Reyes, Vladik Y. Kreinovich.
Why Geological Regions? Springer (2023), Daniela Flores, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Homogeneous Membranes Lead to Optimal Water Desalination: A Possible Explanation Springer (2023), Julio Urenda, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Model Order Reduction Springer (2023), Salvador Robles, Martine C. Ceberio, Vladik Y. Kreinovich.
Why Moments (And Generalized Moments) Are Used in Statistics and Why Expected Utility Is Used in Decision Making: A Possible Explanation Springer (2023), Noah Padilla, Vladik Y. Kreinovich.
Why Moving Fast and Breaking Things Makes Sense Springer 2 43-51 (2023), Francisco Zapata, Eric D. Smith, Vladik Y. Kreinovich.
Why Normalized Difference Vegetation Index (NDVI)? Springer (2023), Francisco A. Zapata-Gonzalez, Eric D. Smith, Vladik Y. Kreinovich, Phuong H. Nguyen.
Why oo Is a Reasonable Symbol for Infinity Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Ovals in Eliciting Intervals? Springer (2023), Joshua Zamora, Vladik Y. Kreinovich.
Why People Overestimate Small Probabilities Springer (2023), David Amparan, Vladik Y. Kreinovich.
Why Quantum Techniques Are a Good First Approximation to Economic Phenomena, and What Next Springer (2023), Vladik Y. Kreinovich, Olga M. Kosheleva.
Why Quantum Techniques Are a Good First Approximation to Economic Phenomena, and What Next Springer (2023), Vladik Y. Kreinovich, Olga M. Kosheleva.
Why Rectified Linear Activation Functions? Why Max-Pooling? A Possible Explanation Springer (2023), Julio Urenda, Vladik Y. Kreinovich.
Why Rectified Linear Neurons: Two Convexity-Related Explanations Springer (2023), Jonathan Contreras, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
Why Residual Neural Networks? Springer (2023), Sofia Holguin, Vladik Y. Kreinovich.
Why Semi-Supervised Learning Makes Sense: A Pedagogical Note Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Too Much Interaction Between Different Parts of the Brain Leads To Unhappiness Springer (2023), Ricardo Alvarez, Yamel Hernandez, Vladik Y. Kreinovich.
Why, in Deep Learning, Non-Smooth Activation Function Works Better Than Smooth Ones Springer (2023), Daniel Cruz, Ricardo Godoy, Vladik Y. Kreinovich.
Need for Simplicity and Everything Is a Matter of Degree: How Zadeh's Philosophy is Related to Kolmogorov Complexity, Quantum Physics, and Deep Learnin Springer 1 (2023), Vladik Y. Kreinovich, Olga M. Kosheleva, Andres Ortiz-Munoz.
Which Are the Correct Membership Functions? Correct 'And'- and 'Or'- Operations? Correct Defuzzification Procedure? Springer 1 (2023), Olga M. Kosheleva, Vladik Y. Kreinovich, Shahnaz Shahbazova.
Geometric Aspects of Wound Healing Geombinatorics 33 2 (2023), Julio Urenda, Vladik Y. Kreinovich.
Why Early Galaxies Were Pickle-Shaped: A Geometric Explanation Geombinatorics 33 2 (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
Need for Techniques Intermediate Between Interval and Probabilistic Ones Abstracts of the International Conference on Parallel Processing and Applied Mathematics PPAM'2022, Gdansk, Poland, September 11-14, 2022 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
A feasible algorithm for solubility of transitive graphs Mathematical Proceedings of the Royal Irish Academy, 122A (2022), Piotr J. Wojciechowski, Crega Cigler, Vladik Y. Kreinovich, Julio Urenda.
A feasible algorithm for solubility of transitive graphs Mathematical Proceedings of the Royal Irish Academy, 122A (2022), Piotr J. Wojciechowski, Crega Cigler, Vladik Y. Kreinovich, Julio Urenda.
A Natural Causality-Motivated Description of Learning Mathematical Structures and Modeling 61 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
A review of "A constrained ill-posed linear problem with data in intervals arising in geodetic leveling'' by H. Gzyl and S. Mayoral International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 30 4 (2022), Vladik Y. Kreinovich.
A review of "A Multifactorial Evolutionary Algorithm for Multitasking Under Interval Uncertainties" by J. Yi, J. Bai, H. He, and Fellow, IEEE, W. Zhou International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 30 6 (2022), Vladik Y. Kreinovich.
A review of "A robust optimization approach for solving two-person games under interval uncertainty" by A. Dey and K. Zaman International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 30 6 (2022), Vladik Y. Kreinovich.
A review of "Approaches to discrete optimization problems with interval objective function'' by A. V. Prolubnikov International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 30(5) (2022), Vladik Y. Kreinovich.
A review of "Computing hypergeometric functions rigorously'' by F. Johansson International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 30 2 (2022), Vladik Y. Kreinovich.
A review of "Discrete IV dG-Choquet integrals with respect to admissible orders" by Z. Takac, M. Uriz, M. Galar, D. Paternain, and H. Bustince International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 30(5) (2022), Vladik Y. Kreinovich.
A review of "Enclosing Chebyshev expansions in linear time'' by B. Hashemi International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 30 2 (2022), Vladik Y. Kreinovich.
A review of "Interval-valued aggregation functions based on moderate deviations applied to Motor-Imagery-Based Brain Computer Interface'' by J. Fumanal-Idocin, Z. Takac, J. Fernandez, J. A. Sanz, H. Goyena, C.-T. Lin, Y.-K. Wang, and H. Bustince International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 30(5) (2022), Vladik Y. Kreinovich.
A review of "Polar Affine arithmetic: optimal affine approximation and operation development for computation in polar form under uncertainty'' by S. Wang, K. Wang, L. Wu, and C. Wang International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 30 2 (2022), Vladik Y. Kreinovich.
A review of "Reserve of characteristic inclusion for interval linear systems of relations'' by I. Sharaya and S. Shary International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 30 4 (2022), Vladik Y. Kreinovich.
Achieving Our Professional and Personal Goals Conference "Enacting Including Excellence Through Leadership, Teaching, and Learning", El Paso, Texas, August 10-12, 2022 (2022), Kien H. Lim, Charles R. Boehmer, Kathleen A. Gannon, Eric D. Smith, Vladik Y. Kreinovich.
Anomaly Detection in Crowdsourcing: Why Midpoints in Interval-Valued Approach Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 5, 2022 (2022), Alejandra De La Pena, Damian L. Gallegos Espinoza, Vladik Y. Kreinovich.
Aquatic Ecotoxicology: Theoretical Explanation of Empirical Formulas Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 5, 2022 (2022), Demetrius R. Hernandez, George M. Molina Holguin, Francisco Parra, Vivian Sanchez, Vladik Y. Kreinovich.
Commonsense-Continuous Dynamical Systems -- Stationary States, Prediction, and Reconstruction of the Past: Fuzzy-Based Analysis Proceedings of the 2022 Annual Conference of North American Fuzzy Information Processing Society, Halifax, Nova Scotia, Canada, May 31 - June 3, 2022 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
Computing the Range of a Function-of-Few-Linear-Combinations Under Linear Constraints: A Feasible Algorithm Proceedings of the 15th International Workshop on Constraint Programming and Decision Making CoProD'2022, Halifax, Nova Scotia, Canada, May 30, 2022 (2022), Salvador Robles, Martine C. Ceberio, Vladik Y. Kreinovich.
Decision support system for the safety of ship navigation based on optical color logic gates Proceedings of the IX International Conference "Information Technology and Implementation" IT&I-2022, Kyiv, Ukraine, November 30 - December 2, 2022 (2022), Victor Timchenko, Yurij Kondratenko, Vladik Y. Kreinovich.
Dielectric Barrier Discharge (DBD) Thrusters -- Aerospace Engines of the Future: Invariance-Based Analysis Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 5, 2022 (2022), Alexis Lupo, Vladik Y. Kreinovich.
Different Concepts, Similar Computational Complexity: Nguyen's Results about Fuzzy and Interval Computations 35 Years Later Abstracts of the 8th World Conference on Soft Computing, Baku, Azerbaijan, February 3-5, 2022. (2022), Vladik Y. Kreinovich.
Discrete Causality Implies Lorenz Group: Case of 2-D Space-Times Mathematical Structures and Modeling 62 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
Efficient Algorithms for Data Processing under Type-3 (and Higher) Fuzzy Uncertainty Mathematics 10 (2022), Vladik Y. Kreinovich, Olga M. Kosheleva, Patricia Melin, Oscar Castillo.
Efficient Algorithms for Data Processing under Type-3 (and Higher) Fuzzy Uncertainty Mathematics 10 (2022), Vladik Y. Kreinovich, Olga M. Kosheleva, Patricia Melin, Oscar Castillo.
Explainable Fuzzy Cluster-based Regression Algorithm with Gradient Descent Learning Complex Engineering Systems (2022), Javier Viana, Stephan Ralescu, Anca Ralescu, Kelly Cohen, Vladik Y. Kreinovich.
Factor differentiation in risk analysis and crisis management American Journal of Industrial and Business Management (in press), Richard A. Posthuma, Vladik Y. Kreinovich, Eric D. Smith.
From Russia with Love The Texas Jewish Historical Society Magazine February (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
Grigory Tseytin website of St. Petersburg Mathematical Society (2022), Vladik Y. Kreinovich.
How to Deal with Conflict of Interest Situations When Selecting the Best Submission Proceedings of the 15th International Workshop on Constraint Programming and Decision Making CoProD'2022, Halifax, Nova Scotia, Canada, May 30, 2022 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Describe Relative Approximation Error? A New Justification for Gustafson's Logarithmic Expression Proceedings of the 15th International Workshop on Constraint Programming and Decision Making CoProD'2022, Halifax, Nova Scotia, Canada, May 30, 2022 (2022), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Describe Variety of a Probability Distribution: A Possible Answer to Yager's Question Proceedings of the 11th IEEE International Conference on Intelligent Systems IS'22, Warsaw, Poland, October 12-14, 2022 (in press), Vladik Y. Kreinovich.
How to elicit complex-valued fuzzy degrees Proceedings of the 2022 Annual Conference of North American Fuzzy Information Processing Society, Halifax, Nova Scotia, Canada, May 31 - June 3, 2022 (2022), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Represent Uncertainty via Qudits: Probability Distributions, Regular, Intuitionistic, Pythagorean, and Picture Fuzzy Sets, F-Transforms, etc. Notes on Intuitionistic Fuzzy Sets 28 3 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Select a Representative Sample for a Family of Functions? Proceedings of the 15th International Workshop on Constraint Programming and Decision Making CoProD'2022, Halifax, Nova Scotia, Canada, May 30, 2022 (2022), Leobardo Valera, Martine C. Ceberio, Vladik Y. Kreinovich.
Hunting Habits of Predatory Birds: Explanation of an Empirical Formula Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 5, 2022 (2022), Adilene Alaniz, Jiovani Hernandez, Andres D. Munoz, Vladik Y. Kreinovich.
Initialization and Plasticity of CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm Proceedings of the 2022 Annual Conference of North American Fuzzy Information Processing Society, Halifax, Nova Scotia, Canada, May 31 - June 3, 2022 (2022), Javier Viana, Stephan Ralescu, Vladik Y. Kreinovich, Anca Ralescu, Kelly Cohen.
Interval Papers at the 2022 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2022 Reliable Computing 29 (2022), Martine C. Ceberio, Vladik Y. Kreinovich.
Interval-Related Papers at the 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'2022 Reliable Computing 29 (2022), Martine C. Ceberio, Vladik Y. Kreinovich.
Interval-Related Papers at the 2022 IEEE World Congress on Computational Intelligence IEEE WCCI'2022 Reliable Computing 29 (2022), Martine C. Ceberio, Vladik Y. Kreinovich.
Interval-Related Talks at Econometric Conferences TES’2022 and ECONVN’2022 Reliable Computing 29 (2022), Vladik Y. Kreinovich.
Invariance Explains Empirical Success of Many Intelligent Techniques Proceedings of the 11th IEEE International Conference on Intelligent Systems IS'22, Warsaw, Poland, October 12-14, 2022 (in press), Olga M. Kosheleva, Vladik Y. Kreinovich.
Invariance-Based Approach Explains Empirical Formulas from Pavement Engineering to Deep Learning Advances in AI and Machine Learning 2 3 (2022), Edgar D. Rodriguez Velasquez, Olga M. Kosheleva, Vladik Y. Kreinovich.
Let Us Start Research Experience at Freshman Level Abstracts of the Conference "Enacting Including Excellence Through Leadership, Teaching, and Learning", El Paso, Texas, August 10-12, 2022 (2022), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
Macrocausality Implies Lorenz Group: A Physics-Related Comment on Guts's Results Mathematical Structures and Modeling 61 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
Many Known Quantum Algorithms Are Optimal: Symmetry-Based Proofs International Journal of Computing 21 4 (2022), Olga M. Kosheleva, Oscar Galindo, Vladik Y. Kreinovich.
Min and Max are the Only Continuous &- and \/-Operations for Finite Logics Transactions on Fuzzy Sets and Systems 1 1 (2022), Vladik Y. Kreinovich.
Multiple Hidden Layered CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm Proceedings of the 2022 Annual Conference of North American Fuzzy Information Processing Society, Halifax, Nova Scotia, Canada, May 31 - June 3, 2022 (2022), Javier Viana, Stephan Ralescu, Vladik Y. Kreinovich, Anca Ralescu, Kelly Cohen.
Need for Optimal Distributed Measurement of Cumulative Quantities Explains the Ubiquity of Absolute and Relative Error Components Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 5, 2022 (2022), Hector A. Reyes, Jeffrey Escamilla, Ethan D. Kish, Aaron D. Brown, Vladik Y. Kreinovich.
Ordered Weighted Averaging (OWA), Decision Making Under Uncertainty, and Deep Learning: How Is This All Related? Information 13 2 (2022), Vladik Y. Kreinovich.
Physical Meaning Often Leads to Natural Derivations in Elementary Mathematics: On the Examples of Solving Quadratic and Cubic Equations Abstracts of the 27th Joint NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Sciences, Las Cruces, New Mexico, April 2, 2022 (2022), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
Physical Trajectories Are Smooth, with Velocities at Least As Continuous As Brownian Motion Mathematical Structures and Modeling 63 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
Preface to the special issue on Advances in Intelligent Systems Acta Polytechnica Hungarica 19 10 (2022), Ildar Batyrshin, Fernando Gomide, Vladik Y. Kreinovich, Shahnaz Shahbazova.
Probabilistic Interpretation of non-probabilistic approaches to uncertainty: interval and fuzzy Abstracts of the 2022 International Conference on Applied Statistics ICAS'2022, Bangkok, Thailand, November 3-4, 2022 (in press), Vladik Y. Kreinovich.
Resource Allocation for Multi-Tasking Optimization: Explanation of an Empirical Formula Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 5, 2022 (2022), Alan Gamez, Antonio Aguirre, Christian Cordova, Alberto Miranda, Vladik Y. Kreinovich.
Seemingly Counter-Intuitive Features of Good-to-Great Companies Actually Make Perfect Sense: Possible Algorithmics-Based Explanations Proceedings of the 11th IEEE International Conference on Intelligent Systems IS'22, Warsaw, Poland, October 12-14, 2022 (in press), Francisco Zapata, Eric D. Smith, Olga M. Kosheleva, Vladik Y. Kreinovich.
Single Hidden Layer CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm Proceedings of the 2022 Annual Conference of North American Fuzzy Information Processing Society, Halifax, Nova Scotia, Canada, May 31 - June 3, 2022 (2022), Javier Viana, Stephan Ralescu, Vladik Y. Kreinovich, Anca Ralescu, Kelly Cohen.
Spiral Arms Around a Star: Geometric Explanation Abstracts of the 27th Joint NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Sciences, Las Cruces, New Mexico, April 2, 2022 (2022), Juan Puebla, Vladik Y. Kreinovich.
Towards a More Accurate Description of Human Decision Making: Satisficing Instead of Optimization Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 5, 2022 (2022), Janusz Kacprzyk, Olga M. Kosheleva, Vladik Y. Kreinovich.
Towards Optimal Techniques Intermediate Between Interval and Affine, Affine and Taylor Mathematical Structures and Modeling 61 (2022), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Unexpected Economic Consequence of Cloud Computing: A Boost to Algorithmic Creativity Proceedings of the 15th International Workshop on Constraint Programming and Decision Making CoProD'2022, Halifax, Nova Scotia, Canada, May 30, 2022 (2022), Francisco Zapata, Eric D. Smith, Vladik Y. Kreinovich.
What If There Are Too Many Outliers Abstracts of the of the 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'2022, Milan, Italy, July 11-15, 2022 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
What Is a Natural Probability Distribution on the Class of All Continuous Functions: Maximum Entropy Approach Leads to Wiener Measure Proceedings of the 15th International Workshop on Constraint Programming and Decision Making CoProD'2022, Halifax, Nova Scotia, Canada, May 30, 2022 (2022), Vladik Y. Kreinovich, Saeid Tizpaz Niari.
When Is Deep Learning Better and When Is Shallow Learning Better: Qualitative Analysis International Journal of Parallel, Emergent and Distributed Systems (2022), Salvador Robles Herrera, Martine C. Ceberio, Vladik Y. Kreinovich.
Why 1/(1+d) Is an Effective Distance-Based Similarity Measure: Two Explanations Proceedings of the 11th IEEE International Conference on Intelligent Systems IS'22, Warsaw, Poland, October 12-14, 2022 (in press), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Best-Worst Method Works Well Proceedings of the 11th IEEE International Conference on Intelligent Systems IS'22, Warsaw, Poland, October 12-14, 2022 (in press), Sean Aguilar, Vladik Y. Kreinovich.
Why Deep Neural Networks: Yet Another Explanation Abstracts of the 27th Joint NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Sciences, Las Cruces, New Mexico, April 2, 2022 (2022), Ricardo Lozano, Ivan Montoya Sanchez, Vladik Y. Kreinovich.
Why Exponential Almon Lag Works Well in Econometrics: An Invariance-Based Explanation Proceedings of the 11th IEEE International Conference on Intelligent Systems IS'22, Warsaw, Poland, October 12-14, 2022 (in press), Laxman Bokati, Vladik Y. Kreinovich.
Why Gaussian Copulas Are Ubiquitous in Economics: Fuzzy-Related Explanation Proceedings of the 2022 Annual Conference of North American Fuzzy Information Processing Society, Halifax, Nova Scotia, Canada, May 31 - June 3, 2022 (2022), Le V. Chon, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Ideas First Appear in Informal Form? Why It Is Very Difficult to Know Yourself? Fuzzy-Based Explanation Proceedings of the 2022 Annual Conference of North American Fuzzy Information Processing Society, Halifax, Nova Scotia, Canada, May 31 - June 3, 2022 (2022), Miroslav Svitek, Vladik Y. Kreinovich.
Why Immunodepressive Drugs Alter Moods Abstracts of the 27th Joint NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Sciences, Las Cruces, New Mexico, April 2, 2022 (2022), Joshua Ramos, Ruth Trejo, Dario Vazquez, Vladik Y. Kreinovich.
Why Optimization Is Faster than Solving Systems of Equations: A Qualitative Explanation Abstracts of the 27th Joint NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Sciences, Las Cruces, New Mexico, April 2, 2022 (2022), Siyu Deng, Bimal K C, Vladik Y. Kreinovich.
Why People Tend to Overestimate Joint Probabilities Proceedings of the 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'2022, Milan, Italy, July 11-15, 2022 1 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Physical Power Laws Usually Have Rational Exponents Proceedings of the 15th International Workshop on Constraint Programming and Decision Making CoProD'2022, Halifax, Nova Scotia, Canada, May 30, 2022 (2022), Edgar Daniel Rodriguez Velasquez, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Rejuvenation Attempts Often Lead to Cancer and Why Cyclic Rejuvenation Is Better: A Simple Qualitative Explanation Mathematical Structures and Modeling 63 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Self-Esteem Helps to Solve Problems: An Algorithmic Explanation Abstracts of the 27th Joint NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Sciences, Las Cruces, New Mexico, April 2, 2022. (2022), Oscar Ortiz, Henry Salgado, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Sine Membership Functions Proceedings of the 2022 Annual Conference of North American Fuzzy Information Processing Society, Halifax, Nova Scotia, Canada, May 31 - June 3, 2022 (2022), Sofia Holguin, Javier Viana, Kelly Cohen, Anca Ralescu, Vladik Y. Kreinovich.
Why Smaller-Size Objects Affect the Flow Much More than Larger Ones: A Geometric Explanation with Applications Ranging from Volcanoes and Tornadoes to Blood, Fish, and Building Preservation Proceedings of the 11th IEEE International Conference on Intelligent Systems IS'22, Warsaw, Poland, October 12-14, 2022 (in press), Laxman Bokati, Vladik Y. Kreinovich.
Word Representation: Explanation of an Empirical Formula Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 5, 2022 (2022), Leonel Escapita, Diana Licon, Madison Anderson, Diego Pedraza, Vladik Y. Kreinovich.
A review of "Confidence-based contractor, propagation and potential clouds for differential equations" by J. Alexandre dit Sandretto International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 30 1 (2022), Vladik Y. Kreinovich.
A review of "Identification of multi-faults in GNSS signals using RSIVIA under dual constellation" by S. Liu, J.-J. Gehrt, D. Abel, and R. Zweigel International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 30 1 (2022), Vladik Y. Kreinovich.
A review of "Interval-based simulation of Zelus IVPs using DynIbex" by J. Brown and F. Pessaux International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 30 1 (2022), Vladik Y. Kreinovich.
A review of "Toward the development of iteration procedures for the interval-based simulation of fractional-order systems'' by A. Rauh and J. Kersten International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 30 1 (2022), Vladik Y. Kreinovich.
Algebraic Approach to Data Processing: Techniques and Applications Springer (2022), Julio C. Urenda, Vladik Y. Kreinovich.
Consistent conjectural variations equilibrium for a financial model Journal of Optimization Theory and Applications (2022), Nancy Solis-Garcia, Jose Guadalupe Flores-Muniz, Vladik Y. Kreinovich, Nataliya Kalashnykova, Viacheslav Kalashnikov.
Correcting interval-valued expert estimates: empirical formulas explained Springer (2022), Laura Berrout Ramos, Vladik Y. Kreinovich, Kittawit Autchariyapanitkul.
Credible Asset Allocation, Optimal Transport Methods, and Related Topics Springer (2022), Songsak Sriboonchitta, Vladik Y. Kreinovich, Woraphon Yamaka.
Distribution-free risk analysis International Journal of Approximate Reasoning 146 (2022), Ander Gray, Scott Ferson, Vladik Y. Kreinovich, Edoardo Patelli.
Distributions on an interval as a scale-invariant combination of scale-invariant functions: theoretical explanation of empirical Marchenko-Pastur-type distributions Springer (2022), Vladik Y. Kreinovich, Kevin Alvarez, Chon V. Le.
Each Realistic Continuous Functional Dependence Implies a Relation Between Some Variables: A Theoretical Explanation of a Fuzzy-Related Empirical Phenomenon Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
Explainable AI and Other Applications of Fuzzy Techniques Springer (2022), Julia Rayz, Victor Raskin, Scott Dick, Vladik Y. Kreinovich.
Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics Springer (2022), Thach N. Nguyen, Vladik Y. Kreinovich, Ha T. Doan, Trung D. Nguyen.
Freedom of Will, Physics, and Human Intelligence: An Idea Abstracts of the Third International Conference on Artificial Intelligence and Computational Intelligence AICI'2022, Hanoi, Vietnam, January 14-15, 2022 (2022), Miroslav Svitek, Vladik Y. Kreinovich, Phuong H. Nguyen.
Fuzzy Logic Beyond Traditional "And"- and "Or"-Operations Journal of Multiple Valued Logic and Soft Computing 38 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
Fuzzy Logic Leads to a More Adequate Way of Processing Likert-Scale Values: Case Study of Burnout Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2022), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
How Much For a Set: General Case of Decision Making Under Set-Valued Uncertainty Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2022), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
How Multi-View Techniques Can Help In Processing Uncertainty Springer (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
How the Pavement's Lifetime Depends on the Stress Level: An Explanation of the Empirical Formula Abstracts of the Third International Conference on Artificial Intelligence and Computational Intelligence AICI'2022, Hanoi, Vietnam, January 14-15, 2022 (2022), Edgar Daniel Rodriguez Velasquez, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
How to find the dependence based on measurements with unknown accuracy: towards a theoretical justification for midpoint and convex-combination interval techniques and their generalizations Springer (2022), Somsak Chanaim, Vladik Y. Kreinovich.
How to Work? How to Study? Shall We Cram for the Exams? And How Is This Related to Life on Earth? Abstracts of the Third International Conference on Artificial Intelligence and Computational Intelligence AICI'2022, Hanoi, Vietnam, January 14-15, 2022 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
Mexican Folk Arithmetic Algorithm Makes Perfect Sense Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2022), Julio Urenda, Chistian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
Order Relations Are Ubiquitously Fundamental: Alexandrov(-Zeeman) Theorem Extended from Space-Time Physics to Logical Reasoning and Decision Making Mathematical Structures and Modeling 62 (2022), Vladik Y. Kreinovich, Olga M. Kosheleva, Laxman Bokati, Laura Berrout Ramos.
Order Relations Are Ubiquitously Fundamental: Alexandrov(-Zeeman) Theorem Extended from Space-Time Physics to Logical Reasoning and Decision Making Mathematical Structures and Modeling 62 (2022), Vladik Y. Kreinovich, Olga M. Kosheleva, Laxman Bokati, Laura Berrout Ramos.
Predicting (Economic)Trends: Why Signature Method in Machine Learning Springer (2022), Vladik Y. Kreinovich, Chon V. Le.
Preface to Abstracts of the Third International Conference on Artificial Intelligence and Computational Intelligence AICI'2022, Hanoi, Vietnam, January 14-15, 2022 Abstracts of the Third International Conference on Artificial Intelligence and Computational Intelligence AICI'2022, Hanoi, Vietnam, January 14-15, 2022 (2022), Phu H. Phan, Phuong H. Nguyen, Vladik Y. Kreinovich.
Preface to the book "Credible Asset Allocation, Optimal Transport Methods, and Related Topics" Springer (2022), Songsak Sribonchitta, Vladik Y. Kreinovich, Woraphon Yamaka.
Preface to the book "Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics" Springer (2022), Thach N. Nguyen, Vladik Y. Kreinovich, Ha T. Doan, Trung D. Nguyen.
Towards Explainable Fuzzy AI: concepts, paradigms, tools, and techniques Springer (2022), Vladik Y. Kreinovich.
What Is the Uncertainty of the Result of Data Processing: Fuzzy Analogue of the Central Limit Theorem Acta Polytechnica Hungarica 19 10 (2022), Julio Urenda, Olga M. Kosheleva, Shahnaz Shahbazova, Vladik Y. Kreinovich.
What Teachers Can Learn from Machine Learning Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2022), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Cauchy Membership Functions: Reliability Advances in Artificial Intelligence and Machine Learning 2 2 (2022), Javier Viana, Stephan Ralescu, Kelly Cohen, Anca Ralescu, Vladik Y. Kreinovich.
Why Daubechies wavelets are so successful Journal of Intelligent and Fuzzy Systems 43 6 (2022), Solymar Ayala Cortez, Laxman Bokati, Aaron A. Velasco, Vladik Y. Kreinovich.
Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI? Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2022), Kelly Cohen, Laxman Bokati, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Normalized Difference Vegetation Index (NDVI)? Abstracts of the Third International Conference on Artificial Intelligence and Computational Intelligence AICI'2022, Hanoi, Vietnam, January 14-15, 2022 (2022), Francisco Zapata, Eric D. Smith, Vladik Y. Kreinovich, Phuong H. Nguyen.
Why Quantum Techniques Are a Good First Approximation to Economic Phenomena, and What Next Abstracts of the Third International Conference on Artificial Intelligence and Computational Intelligence AICI'2022, Hanoi, Vietnam, January 14-15, 2022 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Rectified Linear Neurons: Two Convexity-Related Explanations Abstracts of the Third International Conference on Artificial Intelligence and Computational Intelligence AICI'2022, Hanoi, Vietnam, January 14-15, 2022 (2022), Jonatan Contreras, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
"Negative" Results -- When the Measured Quantity Is Outside the Sensor's Range -- Can Help Data Processing Springer (2022), Jonatan Contreras, Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich, Martine C. Ceberio.
A Natural Formalization of Changing-One's-Mind Leads to Square Root of 'Not' and to Complex-Valued Fuzzy Logic Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
Centroids Beyond Defuzzification Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2022), Juan Carlos Figueroa Garcia, Vladik Y. Kreinovich.
Commonsense Explanations of Sparsity, Zipf Law, and Nash's Bargaining Solution Springer (2022), Olga M. Kosheleva, Vladik Y. Kreinovich, Kittawit Autchariyapanikul.
Economics of Reciprocity and Temptation Springer (2022), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich, Thach N. Nguyen.
Equations for Which Newton's Method Never Works: Pedagogical Example Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2022), Leobardo Valera, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Fuzzy Information Processing 2020 Springer (2022), Barnabas Bede, Martine C. Ceberio, Martine De Cock, Vladik Y. Kreinovich.
Geometric Analysis Leads to Adversarial Teaching of Cybersecurity Springer (2022), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2022), Julio C. Urenda, Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
How the Proportion of People Who Agree to Perform a Task Depends on the Stimulus: A Theoretical Explanation of the Empirical Formula Springer (2022), Laxman Bokati, Vladik Y. Kreinovich, Ha T. Doan.
How to Efficiently Store Intermediate Results in Quantum Computing: Theoretical Explanation of the Current Algorithm Springer (2022), Oscar Galindo, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Explain the Anchoring Formula in Behavioral Economics Springer (2022), Laxman Bokati, Vladik Y. Kreinovich, Le V. Chon.
How to Make Sure That Robot's Behavior Is Human-Like CRC Press (2022), Vladik Y. Kreinovich, Olga M. Kosheleva, Laxman Bokati.
How to Make Sure That Robot's Behavior Is Human-Like CRC Press (2022), Vladik Y. Kreinovich, Olga M. Kosheleva, Laxman Bokati.
How to Train A-to-B and B-to-A Neural Networks So That the Resulting Transformations Are (Almost) Exact Inverses Springer (2022), Paravee Maneejuk, Torben Peters, Claus Brenner, Vladik Y. Kreinovich.
Is There a Contradiction Between Statistics and Fairness: From Intelligent Control to Explainable AI Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2022), Christian Servin, Vladik Y. Kreinovich.
Natural Invariance Explains Empirical Success of Specific Membership Functions, Hedge Operations, and Negation Operations Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2022), Julio C. Urenda, Orsolya Csiszar, Gabor Csiszar, Jozsef Dombi, Gyorgy Eigner, Vladik Y. Kreinovich.
Optimal search under constraints Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2022), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Prediction and Causality in Econometrics and Related Topics Springer (2022), Thach N. Nguyen, Ha T. Doan, Trung D. Nguyen, Vladik Y. Kreinovich.
Preface to the book "Prediction and Causality in Econometrics and Related Topics" Springer (2022), Thach N. Nguyen, Ha T. Doan, Trung D. Nguyen, Vladik Y. Kreinovich.
Reward for Good Performance Works Better Than Punishment for Mistakes: Economic Explanation Springer (2022), Olga M. Kosheleva, Julio Urenda, Vladik Y. Kreinovich.
Scale-Invariance and Fuzzy Techniques Explain the Empirical Success of Inverse Distance Weighting and of Dual Inverse Distance Weighting in Geosciences Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2022), Laxman Bokati, Aaron A. Velasco, Vladik Y. Kreinovich.
Scale-Invariance and Fuzzy Techniques Explain the Empirical Success of Inverse Distance Weighting and of Dual Inverse Distance Weighting in Geosciences Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2022), Laxman Bokati, Aaron A. Velasco, Vladik Y. Kreinovich.
Which Algorithms Are Feasible and Which Are Not: Fuzzy Techniques Can Help in Formalizing the Notion of Feasibility Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2022), Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Geometric Progression in Selecting the LASSO Parameter: A Theoretical Explanation Springer (2022), William Kubin, Yi Xie, Laxman Bokati, Vladik Y. Kreinovich, Kittawit Autchariyapanitkul.
Why LASSO, Ridge Regression, and EN: Explanation Based on Soft Computing Springer (2022), Woraphon Yamaka, Hamza Alkhatib, Ingo Neumann, Vladik Y. Kreinovich.
Why Most Empirical Distributions Are Few-Modal Springer (2022), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Quantiles Are a Good Description of Volatility in Economics: A Pedagogical Explanation Springer (2022), Sean Aguilar, Vladik Y. Kreinovich, Uyen Pham.
How to Reconcile Randomness with Physicists' Belief that Every Theory Is Approximate: Informal Knowledge Is Needed Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2022), Ricardo Alvarez, Nik Sims, Christian Servin, Martine C. Ceberio, Vladik Y. Kreinovich.
How User Ratings Change with Time: Theoretical Explanation of an Empirical Formula Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2022), Julio Urenda, Manuel Hernandez, Natalia Villanueva-Rosales, Vladik Y. Kreinovich.
Why a Classification Based on Linear Approximation to Dynamical Systems Often Works Well in Nonlinear Cases Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2022), Julio C. Urenda, Vladik Y. Kreinovich.
A Natural Formalization of Changing-One's-Mind Leads to Square Root of `Not' and to Complex-Valued Fuzzy Logic Abstracts of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
A possible interpretation of Landes's arithmetic Proceedings of the International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 19, 2021 (2021), Vladik Y. Kreinovich.
A review of "A brief history of computing'' by G. O'Regan Computing Reviews (2021), Vladik Y. Kreinovich.
A review of "A two-warehouse EOQ model with interval-valued inventory cost and advanced payment for deteriorating item under particle swarm optimization'' by A. A. Shaikh, S. C. Das, A. K. Bhunia, G. C. Panda, and M. A. Khan International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 29(3) (2021), Vladik Y. Kreinovich.
A review of "Bounds on the worst optimal value in interval linear programming" by M. Mohammadi and M. Gentili International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 29 2 (2021), Vladik Y. Kreinovich.
A review of "Certifying approximate solutions to polynomial systems on Macaulay2'' by K. Lee International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 29 5 (2021), Vladik Y. Kreinovich.
A review of "DECSYS – Discrete and Ellipse-based response Capture SYStem" by Z. Ellerby, J. McCulloch, J. Young, and C. Wagner International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 29 6 (2021), Vladik Y. Kreinovich.
A review of "Fractional semantics for classical logic" by M. Piazza and G. Pulcini International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 29 4 (2021), Vladik Y. Kreinovich.
A review of "Functional Processing of Delta-Sigma Bit-Stream" by Djuro G. Zrilic Journal of Intelligent and Fuzzy Systems 40 5 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
A review of "Fusions and preference relations based on probabilistic interval-valued hesitant fuzzy information in group decision making'' by S. Zhang, Z. Xu, and H. Wu International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 29(3) (2021), Vladik Y. Kreinovich.
A review of "General interval approach for encoding words into interval type-2 fuzzy sets based on normal distribution and free parameter'' by Z. Su, D. Hu, and X. Yu International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 29(3) (2021), Vladik Y. Kreinovich.
A review of "HIV dynamics under antiretroviral treatment with interactivity" by B. Laiate, F. S. Pedro, E. Esmi, and L. C. Barros, and "Interactive fuzzy fractional differential equations: applications on HIV dynamics" by V. Wasquez, B. Laiate, F. S. Pedro, E. Esmi, and L. C. Barros International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 29 2 (2021), Vladik Y. Kreinovich.
A review of "How Interval and Fuzzy Techniques Can Improve Teaching" by Olga Kosheleva and Karen Villaverde Journal of Intelligent and Fuzzy Systems 40 5 (2021), Vladik Y. Kreinovich.
A review of "Interval extended Kalman filter -- application to underwater localization and control'' by M. Louedec and L. Jaulin International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 29 5 (2021), Vladik Y. Kreinovich.
A review of "Intuitionistic fuzzy reasoning using the method of optimizing the similarity of truth tables" by M. Esmaeli and E. Eslami International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 29(3) (2021), Vladik Y. Kreinovich.
A review of "Local regression smoothers with set-valued outcome data" by Q. Li, I. Molchanov, F. Molinari, and S. Peng International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 29 2 (2021), Vladik Y. Kreinovich.
A review of "Methodology for imprecise availability computing and optimization'' by J. Akrouche, M. Sallak, E. Chatelet, F. Abdallah, and H. Haj Chhade International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 29 6 (2021), Vladik Y. Kreinovich.
A review of "On preconditioning and solving an extended class of interval parametric linear systems" by I. Skalna and M. Hladik International Journal of Uncertainty, Fuzziness. and Knowledge-Based Systems 29 4 (2021), Vladik Y. Kreinovich.
A review of "Prospects on solving an optimal control problem with bounded uncertainties on parameters using interval arithmetics'' by E. Bertin, E. Brendel, B. Herisse, J. Alexandre dit Sandretto, and A. Chapoutot International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 29 6 (2021), Vladik Y. Kreinovich.
A review of "Research on solving strategy of structural reliability index based on probabilistic interval hybrid model" by X. Wu International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 29 5 (2021), Vladik Y. Kreinovich.
A review of "Stability of the linear complementarity problem properties under interval uncertainty'' by M. Hladik International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 29 5 (2021), Vladik Y. Kreinovich.
A review of "The Geometry of Uncertainty: The Geometry of Imprecise Probabilities" by Fabio Cuzzolin Journal of Intelligent and Fuzzy Systems 40 (2021), Vladik Y. Kreinovich.
A review of "Time of the Magicians: Wittgenstein, Benjamin, Cassirer, Heidegger, and The Decade that Reinvented Philosophy" by Wolfram Eilenberger Journal of Intelligent and Fuzzy Systems 40 5 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
A review of "Validated trajectory tracking using flatness" by O. Mullier and J. Alexandre dit Sandretto International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 29 6 (2021), Vladik Y. Kreinovich.
A review of "Visual Knowledge Discovery and Machine Learning" by Boris Kovalerchuk Journal of Intelligent and Fuzzy Systems 40 (2021), Vladik Y. Kreinovich.
Additional Spatial Dimensions Can Help Speed Up Computations Proceedings of the 14th International Workshop on Constraint Programming and Decision Making CoProd'2021, Szeged, Hungary, September 12, 2021 (2021), Luc Longpré, Olga M. Kosheleva, Vladik Y. Kreinovich.
Baudelaire's Ideas of Vagueness and Uniqueness in Art: Algorithm-Based Explanations Proceedings of the 14th International Workshop on Constraint Programming and Decision Making CoProd'2021, Szeged, Hungary, September 12, 2021 (2021), Luc Longpré, Olga M. Kosheleva, Vladik Y. Kreinovich.
Can Ideas Behind Ancient Egyptian Fractions Speed up Modern Computers? Applied Mathematical Sciences 15 3 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
Commonsense 'And'-Operations Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 6, 2021 (2021), Javier Tellez, Wenbo Xie, Vladik Y. Kreinovich.
Decision Making Under Uncertainty: Case When We Only Know an Upper Bound or a Lower Bound Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 6, 2021 (2021), Toshiki Kamio, Gavin Baechle, Vladik Y. Kreinovich.
Dimension Compactification Naturally Follows from First Principles Proceedings of the 14th International Workshop on Constraint Programming and Decision Making CoProd'2021, Szeged, Hungary, September 12, 2021 (2021), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
Disintegrating sensors: a possible new application area of interval techniques Proceedings of the International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 19, 2021 (2021), Vladik Y. Kreinovich.
Each Realistic Continuous Functional Dependence Implies a Relation Between Some Variables: A Theoretical Explanation of a Fuzzy-Related Empirical Phenomenon Abstracts of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
Extension to multi-dimensional problems of a fuzzy-based explainable and noise-resilient algorithm Proceedings of the 14th International Workshop on Constraint Programming and Decision Making CoProd'2021, Szeged, Hungary, September 12, 2021 (2021), Javier Viana, Stephan Ralescu, Kelly Cohen, Anca Ralescu, Vladik Y. Kreinovich.
Fault Detection in a Smart Electric Grid: Geometric Analysis Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 6, 2021 (2021), Hector A. Reyes, Dillon Trinh, Vladik Y. Kreinovich.
Five Revolutionary Ideas in the 1950s-70s Science: 90th Birthday of Revolt Pimenov Mathematical Structures and Modeling 58 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
Fourier Transform and Other Quadratic Problems under Interval Uncertainty Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 6, 2021. (2021), Oscar Galindo, Christopher Ibarra, Michael Beer, Vladik Y. Kreinovich.
Fuzzy Logic Beyond Traditional 'And'-Operations Proceedings of the 3rd International Conference on Intelligent and Fuzzy Systems INFUS'2021, Izmir, Turkey, August 24-26, 2021 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
Fuzzy Logic Beyond Traditional 'And'-Operations Proceedings of the 3rd International Conference on Intelligent and Fuzzy Systems INFUS'2021, Izmir, Turkey, August 24-26, 2021 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
Fuzzy Logic Leads to a More Adequate Way of Processing Likert-Scale Values: Case Study of Burnout Abstracts of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2021), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
Green Computing: Three Examples of How Non-Trivial Mathematical Analysis Can Help Journal of Smart Environments and Green Computing 1 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
How General Is Fuzzy Decision Making? Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AGOP), Bratislava, Slovakia, September 19-24, 2021 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
How Much For a Set: General Case of Decision Making Under Set-Valued Uncertainty Abstracts of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2021), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
How probabilistic methods for data fitting deal with interval uncertainty: a more realistic analysis Abstracts of the 19th International Symposium on Scientific Computing, Computer Arithmetic, and Verified Numerical Computation SCAN'2021, Szeged, Hungary, September 13-15, 2021 (2021), Vladik Y. Kreinovich, Sergey Shary.
How to Best Write Research Papers: Basic English? Sophisticated English? Proceedings of the 14th International Workshop on Constraint Programming and Decision Making CoProd'2021, Szeged, Hungary, September 12, 2021 (2021), Martine C. Ceberio, Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Estimate Time Needed for Software Migration Applied Mathematical Sciences 15 1 (2021), Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Gauge Reliability of a Binary Classification Result: A Simple Case Applied Mathematical Sciences 15 2 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Gauge the Quality of a Multi-Class Classification When Ground Truth Is Known with Uncertainty Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 6, 2021 (2021), Ricardo Mendez, Osagumwenro Osaretin, Vladik Y. Kreinovich.
How To Guarantee Fairness of Grading Without Sacrificing Privacy? Proceedings of the 10th International Scientific-Practical Conference "Mathematical Education in Schools and Universities" MATHEDU'2021, Kazan, Russia, March 22-28, 2021 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Christian Servin.
How To Guarantee Fairness of Grading Without Sacrificing Privacy? Proceedings of the 10th International Scientific-Practical Conference "Mathematical Education in Schools and Universities" MATHEDU'2021, Kazan, Russia, March 22-28, 2021 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Christian Servin.
How Void Ratio Depends on Grain Size In Soil Mechanics: Theoretical Explanation Applied Mathematical Sciences 15 4 (2021), Edgar D. Rodriguez Velasquez, Vladik Y. Kreinovich.
Just-In-Time Teaching Adds Motivation but Is Less Efficient Proceedings of the 10th International Scientific-Practical Conference "Mathematical Education in Schools and Universities" MATHEDU'2021, Kazan, Russia, March 22-28, 2021 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Christian Servin.
Just-In-Time Teaching Adds Motivation but Is Less Efficient Proceedings of the 10th International Scientific-Practical Conference "Mathematical Education in Schools and Universities" MATHEDU'2021, Kazan, Russia, March 22-28, 2021 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Christian Servin.
Kinematic Metric Spaces Under Interval Uncertainty: Towards an Adequate Definition Abstracts of the 19th International Symposium on Scientific Computing, Computer Arithmetic, and Verified Numerical Computation SCAN'2021, Szeged, Hungary, September 13-15, 2021 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Victor Selivanov.
Kinematic Metric Spaces Under Interval Uncertainty: Towards an Adequate Definition Abstracts of the 19th International Symposium on Scientific Computing, Computer Arithmetic, and Verified Numerical Computation SCAN'2021, Szeged, Hungary, September 13-15, 2021 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Victor Selivanov.
Limit Theorems as Blessing of Dimensionality: Neural-Oriented Overview Entropy 23 5 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
Low-Complexity Zonotopes Can Enhance Uncertainty Quantification (UQ) Proceedings of the 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering UNCECOMP'2021, Athens, Greece, June 28-30, 2021 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
Mexican Folk Arithmetic Algorithm Makes Perfect Sense Abstracts of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2021), Julio Urenda, Cristian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
Negations of Probability Distributions: A Survey Computacion y Sistems 25 4 (2021), Ildar Z. Batyrshin, Nailya Kubysheva, Venera R. Baurasheva, Olga M. Kosheleva, Vladik Y. Kreinovich.
Preface to "Explainable Neural Networks Based on Fuzzy Logic and Multi-Criteria Decision Tools" by J. Dombi and C. Csiszar Springer (2021), Vladik Y. Kreinovich.
Revolt Pimenov Taught Us How to Be Scientists Mathematical Structures and Modeling 58 (2021), Vladik Y. Kreinovich.
Same arguments that prove existence of singularity prove existence of acausality Proceedings of the International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 19, 2021 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
So how to make group decisions? Arrow's Impossibility Theorem 70 years after Asian Journal of Economics and Banking 5 3 (2021), Hung T. Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich.
Soft Computing in Economic Applications: Editorial for a special issue Soft Computing 25 12 (2021), Hung T. Nguyen, Vladik Y. Kreinovich.
Tents of Israel Revisited: Audio Privacy International Mathematical Forum 16 1 (2021), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
Towards adopting best practices from face-to-face to virtual classrooms Abstracts of the Support for Online Learning Conference SOL'2021, El Paso, Texas, April 21-23, 2021 (2021), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
Uncertainty: ideas behind neural networks lead us beyond KL-decomposition and interval fields Proceedings of the IEEE Series of Symposia on Computational Intelligence SSCI'2021, Orlando, Florida, December 4-7, 2021. (2021), Michael Beer, Olga M. Kosheleva, Vladik Y. Kreinovich.
What Is the Logic Behind Cistercian Numbers? International Mathematical Forum 16 2 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
What Is the True Formula for Soil Permeability? Not Clear Applied Mathematical Sciences 15 4 (2021), Edgar D. Rodriguez Velasquez, Vladik Y. Kreinovich.
What Teachers Can Learn from Machine Learning Abstracts of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2021), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
While, in general, uncertainty quantification (UQ) is NP-hard, many practical UQ problems can be made feasible Proceedings of the IEEE Series of Symposia on Computational Intelligence SSCI'2021, Orlando, Florida, December 4-7, 2021 (2021), Ander Gray, Scott Ferson, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Base-20, Base-40, and Base-60 Number Systems? Proceedings of the 14th International Workshop on Constraint Programming and Decision Making CoProd'2021, Szeged, Hungary, September 12, 2021 (2021), Sean Aguilar, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Cauchy Membership Functions: Efficiency Advances in Artificial Intelligence and Machine Learning 1 1 (2021), Javier Viana, Stephan Ralescu, Kelly Cohen, Anca Ralescu, Vladik Y. Kreinovich.
Why Dilated Convolutional Neural Networks: A Proof of Their Optimality Entropy 23 (2021), Jonatan Contreras, Martine C. Ceberio, Vladik Y. Kreinovich.
Why Do People Become Addicted: Towards a Theoretical Explanation for Eyal's Experiment-Based Hook Model Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 6, 2021 (2021), Christopher Reyes, Vladik Y. Kreinovich.
Why Do We Need Two Doses of Covid-19 Vaccine: A Qualitative Explanation Applied Mathematical Sciences 15 3 (2021), Laxman Bokati, Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI? Abstracts of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2021), Kelly Cohen, Laxman Bokati, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Geological Regions? Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 6, 2021 (2021), Daniela Flores, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why gold is so important in folkloric prediction rituals: a possible explanation Proceedings of the International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 19, 2021 (2021), Vladik Y. Kreinovich.
Why Gradient Descent -- Not the Best Optimization Technique -- Works Best in Neural Networks: Qualitative Explanation Journal of Combinatorics, Information, and System Sciences JCISS 45 1-4 (2021), Jonatan Contreras, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why historically, many oppressive regimes survived for a long time: a simple mathematics-based explanation Proceedings of the International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 19, 2021 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Homogeneous Membranes Lead to Optimal Water Desalination: A Possible Explanation Proceedings of the 14th International Workshop on Constraint Programming and Decision Making CoProd'2021, Szeged, Hungary, September 12, 2021 (2021), Julio Urenda, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why kappa regression? Proceedings of the Joint World Congress of International Fuzzy Systems Association and Biennial Conference of the European Society for Fuzzy Logic and Technology IFSA/EUSFLAT'2021, Bratislava, Slovakia, September 19-24, 2021 (2021), Julio Urenda, Orsolya Csiszar, Gabor Csiszar, Jozsef Dombi, Gyorgy Eigner, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Moments (and Generalized Moments) Are Used in Statistics and Why Expected Utility Is Used in Decision Making: A Possible Explanation Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 6, 2021 (2021), Noah Padilla, Vladik Y. Kreinovich.
Why Ovals in Eliciting Intervals? Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 6, 2021 (2021), Joshua Zamora, Vladik Y. Kreinovich.
Why Question-Based Reasoning Leads to Constructive Approach to Knowledge International Mathematical Forum 16 1 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
Why rectified linear neurons: a possible interval-based explanation Abstracts of the 19th International Symposium on Scientific Computing, Computer Arithmetic, and Verified Numerical Computation SCAN'2021, Szeged, Hungary, September 13-15, 2021 (2021), Jonatan Contreras, Martine C. Ceberio, Vladik Y. Kreinovich.
Why Residual Neural Networks Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 6, 2021 (2021), Sofia Holguin, Vladik Y. Kreinovich.
Why Romans Sometimes Wrote 8 as VIII, And Sometimes as IIX: A Possible Explanation International Mathematical Forum 16 2 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
Why T-Duality: A Simple Explanation Mathematical Structures and Modeling 60 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
Zadeh's Vision, Modern Physics, and the Future of Computing Journal of Pure and Applied Mathematics 12 1 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
Zadeh's Vision, Modern Physics, and the Future of Computing Journal of Pure and Applied Mathematics 12 1 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
A "Fuzzy" Like Button Can Decrease Echo Chamber Effect Springer (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
A Mystery of Human Biological Development -- Can It Be Used to Speed up Computations? World Scientific (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
A Possible (Qualitative) Explanation of the Hierarchy Problem in Theoretical Physics Mathematical Structures and Modeling 58 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
A Recent Result about Random Metrics Explains Why All of Us Have Similar Learning Potential Springer (2021), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
A review of "An Introduction to Computing with Fuzzy Sets: Analysis, Design, and Applications" by Witold Pedrycz Journal of Intelligent and Fuzzy Systems 40 1 (2021), Vladik Y. Kreinovich.
A review of "Exact algorithms via monotone local search" by F. Fomin, S. Gaspers, D. Lokshtanov, and S. Saurabh Computing Reviews (2021), Vladik Y. Kreinovich.
A review of "Interval arithmetic and self-similarity based RTL input vector control for datapath leakage minimization" by S. Pendyala, S. A. Islam, and S. Katkoori International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 29 (2021), Vladik Y. Kreinovich.
A review of "Rough Draft Math: Revising to Learn'' by Amanda Jansen Journal of Intelligent and Fuzzy Systems 40 (2021), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
A review of "Small angle reconstruction of plasma luminosity for spherical tokamaks" by A. N. Bazhenov and P. A. Zatylkin International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 29 (2021), Vladik Y. Kreinovich.
A review of "Soft Computing Evaluation Logic: The LSP Decision Method and Its Applications" by Jozo Dujmovic Journal of Intelligent and Fuzzy Systems 40 (2021), Vladik Y. Kreinovich.
A review of "The WEIRDest People in the World: How the West Became Psychologically Peculiar and Particularly Prosperous" by Joseph Henrich Journal of Intelligent and Fuzzy Systems 40 1 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
A review of "Weak and strong compatibility in data fitting problems under interval uncertainty" by S. Shary International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 29 (2021), Vladik Y. Kreinovich.
Absence of Remotely Triggered Large Earthquakes: A Geometric Explanation Springer (2021), Laxman Bokati, Aaron A. Velasco, Vladik Y. Kreinovich.
Approximate Version of Interval Computation Is Still NP-Hard Reliable Computing 28 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
Approximate Version of Interval Computation Is Still NP-Hard Reliable Computing 28 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
Are There Traces of Megacomputing in Our Universe Luniver Press (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
Are There Traces of Megacomputing in Our Universe LINKs Special Issue 1 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
Behaviorial Predictive Modeling in Economics Springer (2021), Songsak Sriboonchitta, Vladik Y. Kreinovich, Woraphon Yamaka.
Data Analytics Beyond Traditional Probabilistic Approach to Uncertainty Mathematical Structures and Modeling 58 (2021), Vladik Y. Kreinovich.
Data Science for Financial Econometrics Springer (2021), Thach N. Nguyen, Vladik Y. Kreinovich, Trung D. Nguyen.
Decision Making Under Interval Uncertainty Revisited Asian Journal of Economics and Banking 5 1 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich, Uyen Pham.
Decision Making Under Interval Uncertainty: Towards (Somewhat) More Convincing Springer Justifications for Hurwicz Optimism-Pessimism Approach Asian Journal of Economics and Banking (AJEB) 5 1 (2021), Warattaya Chinnakum, Laura Berrout Ramos, Olugbenga Iyiola, Vladik Y. Kreinovich.
Egyptian Fractions as Approximators Mathematical Structures and Modeling 57 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
Euclidean Distance Between Intervals Is the Only Representation-Invariant One Reliable Computing 28 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
Fusion of Probabilistic Knowledge as Foundation for Sliced-Normal Approach Proceedings of the 9th International Workshop on Reliable Engineering Computing REC'2021, Taormina, Italy, May 16-20, 2021 (2021), Michael Beer, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Describe Measurement Errors: A Natural Generalization of the Central Limit Theorem Beyond Normal (and Other Infinitely Divisible) Distributions World Scientific (2021), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Detect Possible Additional Outliers: Case of Interval Uncertainty Reliable Computing 28 (2021), Hani Dbouk, Steffen Schoen, Ingo Neumann, Vladik Y. Kreinovich.
How to Estimate the Stiffness of the Multi-Layer Road Based on Properties of Layers: Symmetry-Based Explanation for Odemark's Equation Springer (2021), Edgar Daniel Rodriguez Velasquez, Vladik Y. Kreinovich, Olga M. Kosheleva, Phuong Nguyen.
How to Extend Interval Arithmetic So That Inverse and Division Are Always Defined Reliable Computing 28 (2021), Tahea Hossain, Jonathan Rivera, Yash Sharma, Vladik Y. Kreinovich.
How to Gauge the Quality of a Testing Method When Ground Truth Is Known with Uncertainty Proceedings of the 9th International Workshop on Reliable Engineering Computing REC'2021, Taormina, Italy, May 16-20, 2021 (2021), Nicholas Grey, Scott Ferson, Vladik Y. Kreinovich.
How to Separate Absolute and Relative Error Components: Interval Case World Scientific (2021), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
How Uncertainty-Related Ideas Can Provide Theoretical Explanation for Empirical Dependencies Springer (2021), Martine C. Ceberio, Vladik Y. Kreinovich.
Invariance-Based Approach: General Methods and Pavement Engineering Case Study International Journal of General Systems 50 6 (2021), Edgar Daniel Rodriguez Velasquez, Vladik Y. Kreinovich, Olga M. Kosheleva.
Need for Diversity in Elected Decision-Making Bodies: Economics-Related Analysis Springer (2021), Thach Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich.
Need for Shift-Invariant Fractional Differentiation Explains the Appearance of Complex Numbers in Physics Mathematical Structures and Modeling 59 53-57 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
Neural Networks Springer (in press), Vladik Y. Kreinovich.
Optimization under Fuzzy Constraints: Need to Go Beyond Bellman-Zadeh Approach and How It Is Related to Skewed Distributions Springer (2021), Phuong Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich.
Physical Randomness Can Help in Computations World Scientific (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
Preface to the book "How Uncertainty-Related Ideas Can Provide Theoretical Explanation for Empirical Dependencies" Springer (2021), Martine C. Ceberio, Vladik Y. Kreinovich.
Preface to the book "Soft Computing: Biomedical and Related Applications", Springer, Cham, Switzerland, 2021 Springer (2021), Phuong H. Nguyen, Vladik Y. Kreinovich.
Public Interest and Private Enterprize -- New Developments: Theoretical Results and Numerical Algorithms Springer (2021), Jose Guadalupe Flores Muniz, Nataliya Kalashnikova, Vyacheslav Kalashnikov, Vladik Y. Kreinovich.
Realistic Intervals of Degrees of Confidence Reliable Computing 28 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
Recent Research in Control Engineering and Decision Making. Volume 2, 2020 Springer (2021), Olga Dolinina, Igor Bessmertny, Alexander Brovko, Vladik Y. Kreinovich, Vitaly Pechenkin, Alexey Lvov, Vadim Zhmud.
So How Were the Tents of Israel Placed? A Bible-Inspired Geometric Problem International Mathematical Forum 16 1 (2021), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
Soft Computing for Biomedical Applications and Related Topics Springer (2021), Phuong H. Nguyen, Vladik Y. Kreinovich.
Soft Computing: Biomedical and Related Applications Springer (2021), Phuong Nguyen, Vladik Y. Kreinovich.
Strength of Lime Stabilized Pavement Materials: Possible Theoretical Explanation of Empirical Dependencies Springer (2021), Edgar Daniel Rodriguez Velazquez, Vladik Y. Kreinovich.
Students Who Took the Class Help Students Who Are Taking It: What Is the Best Arrangement? Proceedings of the 10th International Scientific-Practical Conference "Mathematical Education in Schools and Universities" MATHEDU'2021, Kazan, Russia, March 22-28, 202 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
Towards a Theoretical Explanation of How Pavement Condition Index Deteriorates over Time Springer (2021), Edgar Daniel Rodriguez Velazquez, Vladik Y. Kreinovich.
Towards Fast and Understandable Computations: Which `And'- and `Or'-Operations Can Be Represented by the Fastest (i.e., 1-Layer) Neural Networks? Which Activations Functions Allow Such Representations? Acta Polytechnica Hungarica 18 2 (2021), Kevin Alvarez, Julio Urenda, O. Csiszar, Gabor Csiszar, Jozsef Dombi, Gyorgy Eigner, Vladik Y. Kreinovich.
We Need Fuzzy Techniques to Design Successful Human-Like Robots Springer (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Laxman Bokati.
We Need Fuzzy Techniques to Design Successful Human-Like Robots Springer (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Laxman Bokati.
What If We Use Almost-Linear Functions Instead of Linear Ones as a First Approximation in Interval Computations World Scientific (2021), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Which Classes of Bi-Intervals Are Closed Under Addition? Under Linear Combination? Under Other Operations? Reliable Computing 28 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich, Jonatan Contreras.
Why Class-D Audio Amplifiers Work Well: A Theoretical Explanation Springer (2021), Kevin Alvarez, Julio Urenda, Vladik Y. Kreinovich.
Why Ellipsoids in Mechanical Analysis of Wood Structures Proceedings of the 9th International Workshop on Reliable Engineering Computing REC'2021, Taormina, Italy, May 16-20, 2021 (2021), Niklas Schietzold, Julio Urenda, Wolfgang Graf, Michael Kaliske, Vladik Y. Kreinovich.
Why Immediate Repetition Is Good for Short-Term Learning Results but Bad For Long-Term Learning: Explanation Based on Decision Theory Springer (2021), Laxman Bokati, Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why It Is Sufficient to Have Real-Valued Amplitudes in Quantum Computing Springer (2021), Isaac Bautista, Vladik Y. Kreinovich, Olga M. Kosheleva, Phuong Nguyen.
Why Physical Processes Are Smooth Or Almost Smooth: A Possible Physical Explanation Based on Intuitive Ideas Behind Energy Conservation Mathematical Structures and Modeling 59 58-63 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Significant Wave Height And Rogue Waves Are So Defined: A Possible Explanation Mathematical Structures and Modeling 57 (2021), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Some Power Laws Are Possible And Some Are Not Springer (2021), Edgar Daniel Rodriguez Velasquez, Phuong Nguyen, Vladik Y. Kreinovich.
Why Strings, Why Quark Confinement: A Simple Qualitative Explanation Mathematical Structures and Modeling 57 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
Why Strings, Why Quark Confinement: A Simple Qualitative Explanation Mathematical Structures and Modeling 57 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
Why Was Nicholson's Theory So Successful: An Explanation of a Mysterious Episode in 20 Century Atomic Physics Mathematical Structures and Modeling 60 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
A Natural Explanation for the Minimum Entropy Production Principle Springer (2021), Griselda Acosta, Eric D. Smith, Vladik Y. Kreinovich.
Accuracy of Data Fusion: Interval (and Fuzzy) Cases Springer (2021), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
Beyond p-boxes and interval-valued moments: natural next approximations to general imprecise probabilities Springer (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
Computing Without Computing: DNA Version Wiley (2021), Vladik Y. Kreinovich, Julio C. Urenda.
Dimension Compactification -- a Possible Explanation for Superclusters and for Empirical Evidence Usually Interpreted as Dark Matter Springer (2021), Vladik Y. Kreinovich.
Finitely Generated Sets of Fuzzy Values: If "And" Is Exact, Then "Or" Is Almost Always Approximate And Vice Versa Springer (2021), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
Fundamental Properties of Pair-Wise Interactions Naturally Lead to Quarks and Quark Confinement: A Theorem Motivated by Neural Universal Approximation Results Springer (2021), Vladik Y. Kreinovich.
Fuzzy Logic Explains the Usual Choice of Logical Operations in 2-Valued Logic Springer (2021), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
Geometric Explanation for an Empirical Formula Describing Our Galaxy's Warping Geombinatorics 30 4 (2021), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
How Can We Explain Different Number Systems? Springer (2021), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Make a Decision Based on the Minimum Bayes Factor (MBF): Explanation of the Jeffreys Scale Springer (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Nguyen D. Trung, Kittawit Autchariyapanitkul.
How to Make a Decision Based on the Minimum Bayes Factor (MBF): Explanation of the Jeffreys Scale Springer (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Nguyen D. Trung, Kittawit Autchariyapanitkul.
How to Gauge a Combination of Uncertainties of Different Type: General Foundations Springer (2021), Ingo Neumann, Vladik Y. Kreinovich, Thach N. Nguyen.
How to reconcile maximum entropy approach with intuition: e.g., should interval uncertainty be represented by a uniform distribution Springer (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Songsak Sriboonchitta.
How to reconcile maximum entropy approach with intuition: e.g., should interval uncertainty be represented by a uniform distribution Springer (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Songsak Sriboonchitta.
Intuitive Idea of Implication vs. Formal Definition: How to Define the Corresponding Degree Springer (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
Joule's 19th Century Energy Conservation Meta-Law and the 20th Century Physics (Quantum Mechanics and Relativity): 21st Century Analysis Foundations of Science 26 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
Joule's 19th Century Energy Conservation Meta-Law and the 20th Century Physics (Quantum Mechanics and Relativity): 21st Century Analysis Foundations of Science 26 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
Linear Neural Networks Revisited: From PageRank to Family Happiness Springer (2021), Vladik Y. Kreinovich.
Optimization under uncertainty explains empirical success of deep learning heuristics Springer (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
Optimization under uncertainty explains empirical success of deep learning heuristics Springer (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
Preface to the book "Data Science for Financial Econometrics" Springer (2021), Thach N. Nguyen, Vladik Y. Kreinovich, Trung D. Nguyen.
Preface to the book "Soft Computing for Biomedical Applications and Related Topics" Springer (2021), Vladik Y. Kreinovich, Phuong H. Nguyen.
Preface to the book "Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometric and Other Areas" Springer (2021), Vladik Y. Kreinovich.
Quantum Computing as a Particular Case of Computing With Tensors Springer (2021), Martine C. Ceberio, Vladik Y. Kreinovich.
Ranking-Based Voting Revisited: Maximum Entropy Approach Leads to Borda Count (and Its Version) Springer (2021), Olga M. Kosheleva, Vladik Y. Kreinovich, Guo Wei.
Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas Springer (2021), Vladik Y. Kreinovich.
Status Quo Bias Actually Helps Decision Makers to Take Nonlinearity into Account: An Explanation Springer (2021), Griselda Acosta, Eric D. Smith, Vladik Y. Kreinovich.
What Segments Are the Best in Representing Contours? Springer (2021), Vladik Y. Kreinovich, Chris Quintana.
Why 3 Basic Colors? Why 4 Basic Tastes? Springer (2021), Vladik Y. Kreinovich.
Why Beta Priors: Invariance-Based Explanation Springer (2021), Olga M. Kosheleva, Vladik Y. Kreinovich, Kittawit Autchariyapanitkul.
Why Gamma Distribution of Seismic Inter-Event Times: A Theoretical Explanation Springer (2021), Laxman Bokati, Aaron A. Velasco, Vladik Y. Kreinovich.
Why h-index Springer (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Phuong H. Nguyen.
Why h-index Springer (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Phuong H. Nguyen.
Why LASSO, EN, and CLOT: Invariance-Based Explanation Springer (2021), Hamza Alkhatib, Ingo Neumann, Vladik Y. Kreinovich, Chon V. Le.
Why Some Non-Classical Logics Are More Studied? Springer (2021), Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
Granular Approach to Data Processing Under Probabilistic Uncertainty Granular Computing 6 (2021), Andrew Pownuk, Vladik Y. Kreinovich.
Simplest Polynomial for Which Naive (Straightforward) Interval Computations Cannot Be Exact Reliable Computing 28 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich, Songsak Sriboonchitta.
Z-Numbers: How They Describe Student Confidence and How They Can Explain (and Improve) Laplacian and Schroedinger Eigenmap Dimension Reduction in Data Analysis Springer (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Michael Zakharevich.
Z-Numbers: How They Describe Student Confidence and How They Can Explain (and Improve) Laplacian and Schroedinger Eigenmap Dimension Reduction in Data Analysis Springer (2021), Vladik Y. Kreinovich, Olga M. Kosheleva, Michael Zakharevich.
Which Interval Is the Closest to a Given Set? Reliable Computing 28 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
Which Interval Is the Closest to a Given Set? Reliable Computing 28 (2021), Vladik Y. Kreinovich, Olga M. Kosheleva.
Why Hausdorff Distance Is Natural in Interval Computations Reliable Computing 28 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
Solving Interval Linear Systems Is NP-Hard Even When All Inputs Are Known With the Same Accuracy Reliable Computing 28 (2021), Ralph Kelsey, Vladik Y. Kreinovich.
Use of Grothendieck Inequality in Interval Computations: Quadratic Terms are Estimated Accurately Modulo a Constant Factor Reliable Computing 28 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Squashing Functions in Multi-Layer Neural Networks Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics SMC’2020 (2020), Julio C. Urenda, Orsolya Csiszar, Gabor Csiszar, Jozsef Dombi, Olga M. Kosheleva, Vladik Y. Kreinovich.
How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS’2020 (2020), Julio C. Urenda, Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
How User Ratings Change with Time: Theoretical Explanation of an Empirical Formula Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS’2020 (2020), Julio C. Urenda, Manuel J. Hernandez, Natalia Villanueva-Rosales, Vladik Y. Kreinovich.
Natural Invariance Explains Empirical Success of Specific Membership Functions, Hedge Operations, and Negation Operations Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS’2020 (2020), Julio C. Urenda, Orsolya Csiszar, Gabor Csiszar, Jozsef Dombi, Gyorgy Eigner, Vladik Y. Kreinovich.
Why a Classification Based on Linear Approximation to Dynamical Systems Often Works Well in Nonlinear Cases Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS’2020 (2020), Julio C. Urenda, Vladik Y. Kreinovich.
"Information-Communication Technologies & Embedded Systems", Proceedings of the 2nd International Workshop on Information-Communication Technologies & Embedded Systems ICTES'2020, Mykolaiv, Ukraine, November 12, 2020 Central Europe (CEUR) Workshop Proceedings 2762 (2020), Yuriy Kondratenko, Vladik Y. Kreinovich, Dan Simon, Yaroslav Krainyk.
A Fully Lexicographic Extension of Min or Max Operation Cannot Be Associative Applied Mathematical Sciences 14 11 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
A possible alternative definition of average-case feasibility Abstracts of the 8th International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 20, 2020 (2020), Laxman Bokati, Lance Glaese, Bryan Molina, Vladik Y. Kreinovich.
A review of "An introduction to differential algebraic equations under interval uncertainty: a first step towards generalized uncertainty DAEs'' by W. A. Lodwick and M. T. Mizukoshi International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 28 (2020), Vladik Y. Kreinovich.
A review of "Another Multibody Dynamics in Natural Coordinates through Automatic Differentiation and High-Index DAE Solving" by J. D. Pryce and N. Nedialkov International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 28 (2020), Vladik Y. Kreinovich.
A review of "Characterizing sliding surfaces of cyber-physical systems" by L. Jaulin and F. Le Bars International Journal of Uncertainty. Fuzziness, and Knowledge-Based Systems 28 (2020), Vladik Y. Kreinovich.
A review of "Cooperative localization of drones by using interval methods" by I. F. Kenmogne, V. Drevelle, and E. Marchand International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 28 (2020), Vladik Y. Kreinovich.
A review of "Explaining explanations in AI" by B. Mittelstadt, C. Russell, and S. Wachter Computing Reviews February 2020 (2020), Vladik Y. Kreinovich.
A review of "From verified parameter identification to the design of interval observers and cooperativity-preserving controllers an experimental case study" by A. Rauh and J. Kersten International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 28 (2020), Vladik Y. Kreinovich.
A review of "Interval method of bisection for a metrologically based search for the roots of equations with inaccurately specified initial data" and "Generalized interval method of bisection for metrologically based search for solutions of systems of equations with inaccurately specified initial data" by K. K. Semenov and A. A. Tselishcheva International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 28 (2020), Vladik Y. Kreinovich.
A review of "Interval predictors for a class of uncertain discrete-time systems" by N. Meslem and J. Martinez International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 28 (2020), Vladik Y. Kreinovich.
A review of "Mind in Motion: How Action Shapes Thought" by Barbara Tversky Journal of Intelligent and Fuzzy Systems 39 3 (2020), Vladik Y. Kreinovich.
A review of "Modeling of dynamical systems with interval parameters" by A. Yu. Morozov and D. L. Reviznikov International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 28 2 (2020), Vladik Y. Kreinovich.
A review of "Numerical Verification Methods and Computer-Assisted Proofs for Partial Differential Equations" by Mitsuhiro Nakao, Michael Plum, and Yoshitaka Watanabe International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 28 (2020), Vladik Y. Kreinovich.
A review of "On interval observer design for continuous-time LPV switched systems" by C. Zammali, J. Van Gorp, and T. Raissi International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 28 (2020), Vladik Y. Kreinovich.
A review of "Optimal switching instants for the control of hybrid systems" by O. Mullier, J. A. dit Sandretto, and A. Chapoutot International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 28 (2020), Vladik Y. Kreinovich.
A review of "Reliable Bounding Zones and Inconsistency Measures for GPS Positioning using Geometrical Constraints" by H. Dbouk and S. Schoen International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 28 (2020), Vladik Y. Kreinovich.
A review of "Satellite conjunction analysis and the false confidence theorem" by M. S. Balch, R. Martin, and S. Ferson International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 28 (2020), Vladik Y. Kreinovich.
A review of "Software failure prognostics on the basis of testing results: application of imprecise test coverage models" by V. G. Krymski International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 28 (2020), Vladik Y. Kreinovich.
A review of "Sound Over-Approximation of Probabilities" by E. Moggi, W. Taha, and J. Thunberg International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 28(3) (2020), Vladik Y. Kreinovich.
A review of "Towards Analyzing the Influence of Measurement Errors in Magnetic Resonance Imaging of Fluid Flows'' by K. John, A. Rauh, M. Bruschewski, and S. Grundmann International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 28 (2020), Vladik Y. Kreinovich.
A review of "Transient landing dynamics analysis for a lunar lander with random and interval fields'' by Z.-Y. Chen, M. Imholz, L. Li, M. Faes, and D. Moens International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 28 (2020), Vladik Y. Kreinovich.
Adversarial Teaching Approach to Cybersecurity: A Mathematical Model Explains Why It Works Well Proceedings of the 24th International Conference on Information Visualisation IV'2020, Vienna and Melbourne, September 7-11, 2020 (2020), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
Advice to New Instructors: Systems Approach Mathematical Structures and Modeling 55 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
Are practical NP-hard problems really hard? Abstracts of the 8th International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 20, 2020 (2020), Ryan Clark, Stephanie Callejas, Luis Medina, Denzell Robinson, Nicole Torres, Vladik Y. Kreinovich, Michael Zakharevich.
Being active in research makes a person a better teacher and even helps when working for a company International Mathematical Forum 15 8 (2020), Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich.
Can We Preserve Physically Meaningful `Macro' Analyticity without Requiring Physically Meaningless `Micro' Analyticity? Mathematical Structures and Modeling 54 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
Common-Sense-Based Theoretical Explanation for an Empirical Formula Estimating Road Quality International Mathematical Forum 15 5 (2020), Edgar Rodriguez, Vladik Y. Kreinovich.
COVID-19 Peak Immunity Values Seem to Follow Lognormal Distribution Applied Mathematical Sciences 14 12 (2020), Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich, Tonghui Wang.
COVID-19 Peak Immunity Values Seem to Follow Lognormal Distribution Applied Mathematical Sciences 14 12 (2020), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich, Tongui Wang.
Does Transition to Democracy Lead to Chaos: A Theorem Applied Mathematical Sciences 14 16 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
Evaluating mechanical properties of earth material during intelligent compaction (2020), Soheil Nazarian, Aria Fathi, Cesar Tirado, Vladik Y. Kreinovich, Sergio Rocha, Mehran Mazari.
Evaluating Mechanical Properties of Earth Material During Intelligent Compaction NCHRP Research Report 933 (2020), Soheil Nazarian, Aria Fathi, Cesar Tirado, Vladik Y. Kreinovich, Sergio Rocha, Mehran Mazari.
Formal Concept Analysis Techniques Can Help in Intelligent Control, Deep Learning, etc. Proceedings of the 15th International Conference on Concept Lattices and Their Applications CLA'2020, Tallinn, Estonia, June 29 - July 1, 2020 (2020), Vladik Y. Kreinovich.
Grading Homeworks, Verifying Code: How Thorough Should the Feedback Be? Proceedings of the 4th International Conference on Intelligent Decision Science IDS'2020, Istanbul, Turkey, August 7-8, 2020 (2020), Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich.
Healthy Lifestyle Decreases the Risk of Alzheimer Disease: A Possible Partial Explanation of an Empirical Dependence International Mathematical Forum 15 5 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
How Can Econometrics Help Fight the COVID'19 Pandemic? Asian Journal of Economics and Banking (AJEB) 4 3 (2020), Kevin Alvarez, Vladik Y. Kreinovich.
How can we explain Grover's quantum algorithm? Abstracts of the 8th International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 20, 2020 (2020), Isaac Bautista, Aaron Espinosa, Isaias Leos, Yixin Xie, Oscar Galindo, Vladik Y. Kreinovich.
How Quantum Cryptography and Quantum Computing Can Make Cyber-Physical Systems More Secure Proceedings of the System of Systems Engineering Conference SoSE'2020, Budapest, Hungary, June 2-4, 2020 (2020), Deepak K. Tosh, Oscar Galindo, Vladik Y. Kreinovich, Olga M. Kosheleva.
How the Amount of Cracks and Potholes Grows with Time: Symmetry-Based Explanation of Empirical Dependencies Proceedings of the International Conference on Smart Sustainable Materials and Technologies ICSSMT'2020, Madurai, India, August 12-13, 2020 2297 (2020), Edgar Daniel Rodriguez Velasquez, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Combine (Dis)Utilities of Different Aspects into a Single (Dis)Utility Value, and How This Is Related to Geometric Images of Happiness Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII) 24 5 (2020), Laxman Bokati, Hoang P. Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Decide Which Cracks Should be Repaired First: Theoretical Explanation of Empirical Formulas Proceedings of the 19th Mexican International Conference on Artificial Intelligence MICAI'2020, Mexico City, Mexico, October 12-17, 2020 (2020), Edgar Daniel Rodriguez Velasquez, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Describe Conditions Like 2-out-of-5 in Fuzzy Logic: a Neural Approach Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII) 24 5 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich, Hoang P. Nguyen.
How to Detect Future Einsteins: Towards Systems Approach Exceptional Children: Education and Treatment 2 3 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Estimate the Stiffness of the Multi-Layer Road Based on Properties of Layers: Symmetry-Based Explanation for Odemark's Equation Abstracts of the Second International Conference on Artificial Intelligence and Computational Intelligence AICI'2021, Hanoi, Vietnam, January 15-16, 2021 (2020), Edgar Daniel Rodriguez Velasquez, Vladik Y. Kreinovich, Olga M. Kosheleva, Phuong H. Nguyen.
How to explain money allocation in Dictator Game Abstracts of the 8th International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 20, 2020 (2020), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Explain the Relation Between Different Empirical Covid-19 Self-Isolation Periods Applied Mathematical Sciences 14 17 (2020), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
Is Deutsch-Jozsa the only quantum algorithm that checks whether the input is relevant? Abstracts of the 8th International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 20, 2020 (2020), Lucia Gonzalez, Jose Marquez Zamudio, Selim Romero, Joseph Warren, Oscar Galindo, Vladik Y. Kreinovich.
It Is Important to Take All Available Information into Account When Making a Decision: Case of the Two Envelopes Problem Proceedings of the 4th International Conference on Intelligent Decision Science IDS'2020, Istanbul, Turkey, August 7-8, 2020 (2020), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
Let Us Use Negative Examples in Regression-Type Problems Too Proceedings of the 24th International Conference on Information Visualisation IV'2020, Vienna and Melbourne, September 7-11, 2020 (2020), Jonathan Contreras, Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich, Martine C. Ceberio.
Lexicographic-Type Extension of Min-Max Logic Is Not Uniquely Determined Mathematical Structures and Modeling 55 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
Need for Diversity in Elected Decision-Making Bodies: Economics-Related Analysis" Abstracts of the Second International Conference on Artificial Intelligence and Computational Intelligence AICI'2021, Hanoi, Vietnam, January 15-16, 2021 (2020), Thach N. Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich.
New (Simplified) Derivation of Nash's Bargaining Solution Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII) 24 5 (2020), Hoang P. Nguyen, Laxman Bokati, Vladik Y. Kreinovich.
Online Teaching -- Systems Approach: Questions and Answers Mathematical Structures and Modeling 55 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
Optimization under Fuzzy Constraints: Need to Go Beyond Bellman-Zadeh Approach and How It Is Related to Skewed Distributions Abstracts of the Second International Conference on Artificial Intelligence and Computational Intelligence AICI'2021, Hanoi, Vietnam, January 15-16, 2021 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
Possibility to Algorithmically Check: Yet Another Reason Why Current Definitions Have Been Selected in Elementary Mathematics Applied Mathematical Sciences 14 18 (2020), Christian S. , Olga M. Kosheleva, Vladik Y. Kreinovich.
Preface Abstracts of the Second International Conference on Artificial Intelligence and Computational Intelligence AICI'2021, Hanoi, Vietnam, January 15-16, 2021 (2020), Thang T. Nguyen, Giang L. Nguyen, Phuong H. Phuong, Vladik Y. Kreinovich.
Preference for Boys Does Not Necessarily Lead to a Gender Disbalance: A Realistic Example International Mathematical Forum 15 5 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
Review of "Radical Uncertainty: Decision Making Beyond the Numbers" by John Kay and Mervyn King Journal of Intelligent and Fuzzy Systems 39 3 (2020), Vladik Y. Kreinovich.
Rosenzweig, Equality, and Assignment International Mathematical Forum 15 7 (in press), Olga M. Kosheleva, Vladik Y. Kreinovich.
Scale-Invariance and Fuzzy Techniques Explain the Empirical Success of Inverse Distance Weighting and of Dual Inverse Distance Weighting in Geosciences Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2020), Laxman Bokati, Aaron A. Velasco, Vladik Y. Kreinovich.
Scale-Invariance Ideas Explain the Empirical Soil-Water Characteristic Curve Proceedings of the IEEE Series of Symposia on Computational Intelligence SSCI'2020, Canberra, Australia, December 1-4, 2020 (2020), Edgar Daniel Rodriguez Velasquez, Vladik Y. Kreinovich.
Several Years of Practice May Not Be As Good as Comprehensive Training: Zipf's Law Explains Why Mathematical Structures and Modeling 54 (2020), Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich.
Should Fighting Corruption Always Be One of the Main Pre-Requisites for Economic Help? International Mathematical Forum 5 8 (2020), Sean Aguilar, Vladik Y. Kreinovich.
The Less We Love a Woman, the More She Likes Us: Pushkin's Observation Explained International Mathematical Forum 15 5 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
The Similarity Between Earth's and Mars's Core-Mantle Boundary Seems to Be Statistically Significant Applied Mathematical Sciences 14 15 (2020), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
Theoretical Explanation of Recent Empirically Successful Code Quality Metrics Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII) 24 5 (2020), Vladik Y. Kreinovich, Omar A. Masmali, Hoang P. Nguyen, Omar B. Badreddin.
Towards Making Fuzzy Techniques More Adequate for Combining Knowledge of Several Expert Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII) 24 5 (2020), Hoang P. Nguyen, Vladik Y. Kreinovich.
Towards Security of Cyber-Physical Systems using Quantum Computing Algorithms (2020), Deepak K. Tosh, Oscar Galindo, Vladik Y. Kreinovich, Olga M. Kosheleva.
Two Pens In a Pocket Must Be Different: A Nerd-Oriented Lesson From Statistics International Mathematical Forum 15 6 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
Two Runners in the Time of Social Distancing, Speedboats in the Gulf of Finland: How to Best Pass? International Mathematical Forum 15 7 (2020), Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
Two Runners in the Time of Social Distancing, Speedboats in the Gulf of Finland: How to Best Pass? International Mathematical Forum 15 7 (2020), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
Uncertainty Analysis in Economics and Finance: Preface to the Special Issue International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 28 Supplement 1 (2020), Hung T. Nguyen, Vladik Y. Kreinovich.
Under Limited Resources, Lottery-Based Tutoring Is the Most Efficient Applied Mathematical Sciences 14 15 (2020), Olga M. Kosheleva, Christian Servin, Vladik Y. Kreinovich.
What If You Are Late on Several (Relatively Small) Tasks? International Mathematical Forum 15 8 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
What is practically feasible: a fuzzy approach Abstracts of the 8th International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 20, 2020 (2020), Jonatan Contreras, Nathan Aun, Sebastian Ayala, Isaiah Hernandez, Matthew Iglesias, Daniel Obrien, Jose Perez, Olga M. Kosheleva, Vladik Y. Kreinovich.
What Is the Optimal Annealing Schedule in Quantum Annealing Proceedings of the IEEE Series of Symposia on Computational Intelligence SSCI'2020, Canberra, Australia, December 1-4, 2020 (2020), Oscar Galindo, Vladik Y. Kreinovich.
White- and Black-Box Computing and Measurements under Limited Resources: Cloud, High Performance, and Quantum Computing, and Two Case Studies -- Robotic Boat and Hierarchical Covid Testing Abstracts of the Second International Conference on Artificial Intelligence and Computational Intelligence AICI'2021, Hanoi, Vietnam, January 15-16, 2021, (2020), Vladik Y. Kreinovich, Martine C. Ceberio, Olga M. Kosheleva.
White- and Black-Box Computing and Measurements under Limited Resources: Cloud, High Performance, and Quantum Computing, and Two Case Studies -- Robotic Boat and Hierarchical Covid Testing Abstracts of the Second International Conference on Artificial Intelligence and Computational Intelligence AICI'2021, Hanoi, Vietnam, January 15-16, 2021, (2020), Vladik Y. Kreinovich, Martine C. Ceberio, Olga M. Kosheleva.
White- and Black-Box Computing and Measurements under Limited Resources: Cloud, High Performance, and Quantum Computing, and Two Case Studies -- Robotic Boat and Hierarchical Covid Testing Proceedings of the 2nd Information-Communication Technologies & Embedded Systems Workshop ICT&ES'2020, Mykolaiv, Ukraine, November 12, 2020 (2020), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why 3D Fragmentation Usually Leads to Cuboids: A Simple Geometric Explanation International Mathematical Forum 15 6 (2020), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Ancient Egyptians Preferred Some Sum-of-Inverses Representations of Fractions? Applied Mathematical Sciences 15 18 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Cutting Trajectories Into Small Pieces Helps to Learn Dynamical Systems Better: A Seemingly Counterintuitive Empirical Result Explained Applied Mathematical Sciences 14 13 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
Why It Is Sufficient to Have Real-Valued Amplitudes in Quantum Computing Abstracts of the Second International Conference on Artificial Intelligence and Computational Intelligence AICI'2021, Hanoi, Vietnam, January 15-16, 2021 (2020), Isaac Bautista, Vladik Y. Kreinovich, Olga M. Kosheleva, Phuong H. Nguyen.
Why Majority Rule Does Not Work in Quantum Computing: A Pedagogical Explanation Proceedings of the 19th Mexican International Conference on Artificial Intelligence MICAI'2020, Mexico City, Mexico, October 12-17, 2020 (2020), Oscar Galindo, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Mean, Variance, Moments, Correlation, Skewness etc. -- Invariance-Based Explanations Asian Journal of Economics and Banking 4 2 (2020), Olga M. Kosheleva, Laxman Bokati, Vladik Y. Kreinovich.
Why Number of Color Difference Works Better In Detecting Melanoma Than Number of Colors: A Possible Fractal-Based Explanation Applied Mathematical Sciences 14 17 (2020), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why quantiles are a good description of volatility in economics Abstracts of the 8th International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 20, 2020 (2020), Sean Aguilar, Vladik Y. Kreinovich.
Why Some Power Laws Are Possible And Some Are Not Abstracts of the Second International Conference on Artificial Intelligence and Computational Intelligence AICI'2021, Hanoi, Vietnam, January 15-16, 2021 (2020), Edgar Daniel Rodriguez Velasquez, Vladik Y. Kreinovich, Olga M. Kosheleva, Phuong H. Nguyen.
Why Squashing Functions in Multi-Layer Neural Networks Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics SMC'2020, Toronto, Canada, October 11-14, 2020 (2020), Julio Urenda, Orsolya Csiszar, Gabor Csiszar, Jozsef Dombi, Olga M. Kosheleva, Vladik Y. Kreinovich, Gyorgy Eigner.
Why Tanimoto index Abstracts of the 8th International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 20, 2020 (2020), Kevin Alvarez, Vladik Y. Kreinovich.
Why There Are Only Four Fundamental Forces: A Possible Explanation International Mathematical Forum 5 4 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
Yet Another Possible Explanation of Egyptian Fractions: Motivated by Fairness Applied Mathematical Sciences 14 18 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
A review of "Bounding averages rigorously using semideﬁnite programming: mean moments of the Lorenz system" by D. Goluskin International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 28 (2020), Vladik Y. Kreinovich.
A review of "Continuation of homoclinic orbits in the suspension bridge equation: A computer-assisted proof'' by J. B. van den Berg, M. Breden, J.-P. Lessard, and M. Murray International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 28 (2020), Vladik Y. Kreinovich.
A review of "Inconsistencies in numerical simulations of dynamical systems using interval arithmetic'' by E. G. Nepomuceno, M. L. C. Peixoto, S. A. M. Martins, H. M. Rodrigues, and M. Perc International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 28 (2020), Vladik Y. Kreinovich.
A review of "New operations on interval-valued picture fuzzy set, interval-valued picture fuzzy soft set, and their applications'' by A. M. Khalil, S.-G. Li, H. Garg, H. Li, and S. Ma International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 28 (2020), Vladik Y. Kreinovich.
A review of "The Kolmogorov goodness-of-fit test for interval-valued data" by P. Grzegorzewski International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 28 (2020), Vladik Y. Kreinovich.
Algebraic Techniques and Their Use in Describing and Processing Uncertainty Springer (2020), Hung T. Nguyen, Vladik Y. Kreinovich.
Confirmation Bias in Systems Engineering: A Pedagogical Example Mathematical Structures and Modeling 53 (2020), Griselda Acosta, Eric D. Smith, Vladik Y. Kreinovich.
Decision Making under Constraints Springer (2020), Martine C. Ceberio, Vladik Y. Kreinovich.
Deep Learning (Partly) Demystified Abstracts of the International Conference on Artificial Intelligence and Computational Intelligence AICI'2020, Hanoi, Vietnam, January 4-6, 2020 (2020), Vladik Y. Kreinovich.
Deep Learning (Partly) Demystified Proceedings of the 2020 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence ISMSI'2020, Thimpu, Bhutan, April 18-19, 2020 (in press), Vladik Y. Kreinovich, Olga M. Kosheleva.
Deep Learning (Partly) Demystified Abstracts of the 2020 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence ISMSI'2020, Thimpu, Bhutan, April 18-19, 2020 (2020), Vladik Y. Kreinovich, Olga M. Kosheleva.
Deep Learning (Partly) Demystified Abstracts of the 2020 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence ISMSI'2020, Thimpu, Bhutan, April 18-19, 2020 (2020), Vladik Y. Kreinovich, Olga M. Kosheleva.
Deep Learning (Partly) Demystified Proceedings of the 2020 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence ISMSI'2020, Thimpu, Bhutan, April 18-19, 2020 (in press), Vladik Y. Kreinovich, Olga M. Kosheleva.
How Quantum Computing Can Help With (Continuous) Optimization Springer (2020), Christian Ayub, Martine C. Ceberio, Vladik Y. Kreinovich.
How to Explain That Changes in Elderlies Depression Level Are Uniformly Distributed Mathematical Structures and Modeling 53 (2020), Griselda Acosta, Eric D. Smith, Vladik Y. Kreinovich.
How to Gauge a Combination of Uncertainties of Different Type: General Foundations Abstracts of the 13th International Conference of Thailand Econometric Society, Chiang Mai, Thailand. January 8-10, 2020 (2020), Ingo Neumann, Vladik Y. Kreinovich, Thach N. Nguyen.
If Space-Time Is Discrete, It Could Be Possible to Solve NP-Complete Problems in Polynomial Time International Journal of Unconventional Computing 15 3 (2020), Ricardo Alvarez, Nick Sims, Christian Servin, Martine C. Ceberio, Vladik Y. Kreinovich.
Letter to the editor on quantum ctyptography Notices of the American Mathematical Society 67 5 (2020), Vladik Y. Kreinovich, Luc Longpre.
Nonlinear Mechanical Properties of Road Pavements: Geometric Symmetries Explain the Empirical Difference between Roads Built on Clay vs. Granular Soils Geombinatorics 29 4 (2020), Afshin Gholamy, Vladik Y. Kreinovich.
Odometry under Interval Uncertainty: Towards Optimal Algorithms with Potential Application to Self-Driving Cars and Mobile Robots Reliable Computing 27 (2020), Raphael Voges, Bernardo Wagner, Vladik Y. Kreinovich.
On Geometry of Finsler Causality: For Convex Cones, There Is No Affine-Invariant Linear Order (Similar to Comparing Volumes) Mathematical Structures and Modeling 53 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich.
Rnking-Based Voting Revisited: Maximum Entropy Approach Leads to Borda Count (and Its Versions) Abstracts of the 13th International Conference of Thailand Econometic Society, Chiang Mai, Thailand. January 8-10, 2020 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich, Guo Wei.
Testimonial for Mo El-Hawary IEEE SMC Magazine 6 1 (in press), Vladik Y. Kreinovich.
Towards Analytical Techniques for Systems Engineering Applications Springer Verlag (2020), Griselda Acosta, Eric D. Smith, Vladik Y. Kreinovich.
Which Distributions (or Families of Distributions) Best Represent Interval Uncertainty: Case of Permutation-Invariant Criteria Proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'2020, Lisbon, Portugal, June 15-19, 2020 (2020), Michael Beer, Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
Which Distributions (or Families of Distributions) Best Represent Interval Uncertainty: Case of Permutation-Invariant Criteria Abstracts of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'2020, Lisbon, Portugal, June 15-19, 2020 (2020), Michael Beer, Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Beta Priors: Invariance-Based Explanation Abstracts of the 13th International Conference of Thailand Econometric Society, Chiang Mai, Thailand, January 8-10, 2020 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich, Kittawit Autchariyapanitkul.
Why Deep Learning Is More Efficient than Support Vector Machines, and How It Is Related to Sparsity Techniques in Signal Processing Abstracts of the 2020 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence ISMSI'2020, Thimpu, Bhutan, April 18-19, 2020 (2020), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich, Anibal Sosa.
Why Deep Learning Is More Efficient than Support Vector Machines, and How It Is Related to Sparsity Techniques in Signal Processing Proceedings of the 2020 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence ISMSI'2020, Thimpu, Bhutan, April 18-19, 2020 (in press), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich, Anibal Sosa.
Why Spiking Neural Networks Are Efficient: A Theorem Abstracts of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'2020, Lisbon, Portugal, June 15-19, 2020 (2020), Michael Beer, Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Spiking Neural Networks Are Efficient: A Theorem Proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'2020, Lisbon, Portugal, June 15-19, 2020 (2020), Michael Beer, Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
A Symmetry-Based Explanation of the Main Idea Behind Chubanov's Linear Programming Algorithm Springer (2020), Olga M. Kosheleva, Vladik Y. Kreinovich, Thongchai Dumrongpokaphan.
Italian Folk Multiplication Algorithm Is Indeed Better: It Is More Parallelizable Springer (2020), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Relativistic Effects Can Be Used to Achieve a Universal Square-Root (Or Even Faster) Computation Speedup Springer (2020), Vladik Y. Kreinovich, Olga M. Kosheleva.
Relativistic Effects Can Be Used to Achieve a Universal Square-Root (Or Even Faster) Computation Speedup Springer (2020), Vladik Y. Kreinovich, Olga M. Kosheleva.
Reverse Mathematics Is Computable for Interval Computations Springer (2020), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Symmetries Are Important Springer (2020), Vladik Y. Kreinovich.
Which fuzzy logic operations are most appropriate for ontological semantics: theoretical explanation of empirical observations De Gruyter Mouton (2020), Vladik Y. Kreinovich, Olga M. Kosheleva.
Which fuzzy logic operations are most appropriate for ontological semantics: theoretical explanation of empirical observations De Gruyter Mouton (2020), Vladik Y. Kreinovich, Olga M. Kosheleva.
Why Bohmian Approach to Quantum Econometrics: An Algebraic Explanation Springer (2020), Vladik Y. Kreinovich, Olga M. Kosheleva, Songsak Sriboonchitta.
Why Bohmian Approach to Quantum Econometrics: An Algebraic Explanation Springer (2020), Vladik Y. Kreinovich, Olga M. Kosheleva, Songsak Sriboonchitta.
Why Burgers Equation: Symmetry-Based Approach Springer (2020), Leobardo Valera, Martine C. Ceberio, Vladik Y. Kreinovich.
Why Triangular and Trapezoid Membership Functions: A Simple Explanation Springer (2020), Vladik Y. Kreinovich, Olga M. Kosheleva, Shahnaz Shahbazova.
Why Triangular and Trapezoid Membership Functions: A Simple Explanation Springer (2020), Vladik Y. Kreinovich, Olga M. Kosheleva, Shahnaz Shahbazova.
Working on One Part at a Time is the Best Strategy for Software: A Proof Springer (2020), Francisco Zapata, Maliheh Zargaran, Vladik Y. Kreinovich.
Attraction-Repulsion Forces Between Biological Cells: A Theoretical Explanation of Empirical Formulas Springer (2020), Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
Beyond Integration: A Symmetry-Based Approach to Reaching Stationarity in Economic Time Series Springer Verlag (2020), Olga M. Kosheleva, Songsak Sriboonchitta, Vladik Y. Kreinovich.
Efficient Algorithms for Geodetic Sensor Synchronization under Interval Uncertainty Reliable Computing 27 1-11 (2020), Raphael Voges, Bernardo Wagner, Vladik Y. Kreinovich.
Fuzzy Systems Are Universal Approximators for Random Dependencies: A Simplified Proof Springer Verlag (2020), Mahdokht Afravi, Vladik Y. Kreinovich.
Plans Are Worthless but Planning Is Everything: A Theoretical Explanation of Eisenhower's Observation Springer (2020), Angel Garcia Contreras, Martine C. Ceberio, Vladik Y. Kreinovich.
Probabilistic and more general uncertainty-based (e.g., fuzzy) approaches to crisp clustering explain the empirical success of the K-sets algorithm Springer (2020), Vladik Y. Kreinovich, Olga M. Kosheleva, Shahnaz Shahbazova, Songsak Sriboonchitta.
Probabilistic and more general uncertainty-based (e.g., fuzzy) approaches to crisp clustering explain the empirical success of the K-sets algorithm Springer (2020), Vladik Y. Kreinovich, Olga M. Kosheleva, Shahnaz Shahbazova, Songsak Sriboonchitta.
Which Value x Best Represents a Sample x1, ..., xn: Utility-Based Approach Under Interval Uncertainty Springer (2020), Andrzej M. Pownuk, Vladik Y. Kreinovich.
Why Convex Optimization Is Ubiquitous and Why Pessimism Is Widely Spread Springer (2020), Angel Garcia Contreras, Martine C. Ceberio, Vladik Y. Kreinovich.
Why Rectified Linear Neurons Are Efficient: A Possible Theoretical Explanation Springer (2020), Olac Fuentes, Justin Parra, Elizabeth Y. Anthony, Vladik Y. Kreinovich.
Why Sparse? Springer Verlag (2020), Thongchai Dumrongpokaphan, Olga M. Kosheleva, Vladik Y. Kreinovich, Aleksandra Belina.
Why Unexpectedly Positive Experiences Make Decision Makers More Optimistic: An Explanation Springer (2020), Andrzej M. Pownuk, Vladik Y. Kreinovich.
How Neural Networks (NN) Can (Hopefully) Learn Faster by Taking Into Account Known Constraints Springer (2020), Chitta Baral, Martine C. Ceberio, Vladik Y. Kreinovich.
When We Know the Number of Local Maxima, Then We Can Compute All of Them Springer (in press), Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
80/20 Rule Partially Explains 7 Plus Minus 2 Law: General System-Based Analysis International Mathematical Forum 14 5 (2019), Griselda Acosta, Eric D. Smith, Vladik Y. Kreinovich.
A review of "An approach based on reliability-based possibility degree of interval for solving general interval bilevel linear programming problem'' by A. Ren and Y. Wang International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 27(4) (2019), Vladik Y. Kreinovich.
A review of "An interval algorithm for uncertain dynamic stability analysis'' by Y. Huang International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 27(2) (2019), Vladik Y. Kreinovich.
A review of "Effect of the interval-symbol method with correct zero rewriting of the delta-LLL algorithm" by H. Nagashima and K. Shirayanagi International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 27(2) (2019), Vladik Y. Kreinovich.
A review of "Frequency domain techniques for H-infinity control of distributed parameter systems" by H. Ozbay, S. Gumussoy, K. Kashima, and Y. Yamamoto Computing Reviews (2019), Vladik Y. Kreinovich.
A review of "Green supplier evaluation in manufacturing systems: a novel interval-valued hesitant fuzzy group outranking approach'' by H. Gitinavard, H. Ghaderi, and M. S. Pishavee International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 27 (2019), Vladik Y. Kreinovich.
A review of "Interval methods for the implementation and verification of robust gain scheduling controllers'' by J. Kersten, A. Rauh, and H. Aschermann International Journal of Uncertainty, Fuzziness, and Knowledge Based Systems 27(3) (2019), Vladik Y. Kreinovich.
A review of "Interval type-2 fuzzy logic and its application to occupational safety risk performance in industries'' by D. K. Jana, S. Pramanik, P. Sahoo, and A. Mukherjee International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 27 (2019), Vladik Y. Kreinovich.
A review of "Interval versions of Milne's multistep methods'' by A. Marciniak and M. A. Jankowska International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 27(4) (2019), Vladik Y. Kreinovich.
A review of "L-fuzzy sets and isomorphic lattices: are all the `new' results really new?'' by E. P. Klement and R. Mesiar International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 27(4) (2019), Vladik Y. Kreinovich.
A review of "Multivariate data fitting with error control" by A. Cuyt and O. Salazar Celis International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 27(3) (2019), Vladik Y. Kreinovich.
A review of "On Minkowski sum of many small sets" by M. M. Roginskaya and V. S. Shulman International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 27 5 (2019), Vladik Y. Kreinovich.
A review of "On the interval stability of weak-nonlinear control systems with aftereffect" by A. Shatyrko and D. Khusainov International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 27(2) (2019), Vladik Y. Kreinovich.
A review of "Optimal Order Constructive a Priori Error Estimates for a Full Discrete Approximation of the Heat Equation" by T. Kimura, T. Minamoto, and M. T. Nakao International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 27(5) (2019), Vladik Y. Kreinovich.
A review of "Parametric and nonparametric identification of the distribution law from interval data" by S. S. Vozhov and E. V. Chimitova International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 27(2) (2019), Vladik Y. Kreinovich.
A review of "Product reliability optimization under plate sheet forming process variability" by M. Faes, B. Van Dominick, M. Imholz, and D. Moens International Journal of Uncertainty, Fuzziness, and Knowlegde-Based Systems 27(5) (2019), Vladik Y. Kreinovich.
A review of "Runge-Kutta theory and constraint programming" by J. A. dit Sandretto International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 27 (2019), Vladik Y. Kreinovich.
A Scheduler for Smart Homes with Probabilistic User Preferences Proceedings of the 22nd International Conference on Principles and Practice of Multi-Agent Systems PRIMA'2019, Torino, Italy, October 28-31, 2019 (2019), Van Nguyen, William Yeoh, Tran C. Son, Vladik Y. Kreinovich, Tiep Le.
A simple quantitative model of cognitive tradeoff phenomenon Journal of Uncertain Systems 13 2 (2019), Griselda Acosta, Eric D. Smith, Vladik Y. Kreinovich.
A Theoretical Explanation for the Efficiency of Generalized Harmonic Wavelets in Engineering and Seismic Spectral Analysis Mathematical Structures and Modeling 51 (2019), Michael Beer, Afshin Gholamy, Vladik Y. Kreinovich.
Anatole France's Statement on Education Transformed into a Theorem Russian Digital Libraries Journal 22 6 (2019), Mourat A. Tchoshanov, Olga M. Kosheleva, Vladik Y. Kreinovich.
Anatole France's Statement on Education Transformed into a Theorem Abstracts of the IX International Conference on Mathematics Education MATHEDU'2019, Kazan, Russia, October 23-27, 2019 (2019), Mourat A. Tchoshanov, Olga M. Kosheleva, Vladik Y. Kreinovich.
Avoiding Einstein-Podolsky-Rosen (EPR) Paradox: Towards a More Physically Adequate Description of a Quantum State Journal of Uncertain Systems 13 3 (2019), Joseph Bernal, Olga M. Kosheleva, Vladik Y. Kreinovich.
Bhutan Landscape Anomaly: Possible Effect on Himalayan Economy (In View of Optimal Description of Elevation Profiles) Thai Journal of Mathematics (2019), Nguyen N. Thach, Laxman Bokati, Aaron A. Velasco, Vladik Y. Kreinovich.
Black-box propagation of failure probabilities under epistemic uncertainty M. Papadrakakis, V. Papadopoulos, G. Stefanou (eds.), Proceedings of the 3rd ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering UNCECOMP'2019, Crete, Greece, June 24-26, 2019 (2019), Marco de Angelis, Scott Person, Edoardo Patelli, Vladik Y. Kreinovich.
Calibration helps reduce disagreement between different pavement condition indices Journal of Uncertain Systems 13 2 (2019), Edgar Rodriguez, Carlos M. Chang Albitres, Vladik Y. Kreinovich.
Common Sense Addition Explained by Hurwicz Optimism-Pessimism Criterion Journal of Uncertain Systems 13 3 (2019), Bibek Aryal, Laxman Bokati, Karla Godinez, Shammir Ibarra, Heyi Liu, Bofei Wang, Vladik Y. Kreinovich.
Computational Complexity of Experiment Design in Civil Engineering Proceedings of the 29th European Safety and Reliability Conference ESREL'2019, Hannover, Germany, September 22-26, 2019 (2019), Olga M. Kosheleva, Yan Wang, Vladik Y. Kreinovich.
Contrast Similarity Measures of Fuzzy Sets Computacion y Sistemas 23 4 (2019), Ildar Batyrshin, Vladik Y. Kreinovich, Olga M. Kosheleva, Nailya Kubysheva, Raouf Akhtiamov.
Decision making under general set uncertainty: additivity approach Journal of Uncertain Systems 13 2 (2019), Srialekya Edupalli, Vladik Y. Kreinovich.
Decision Making Under General Set Uncertainty: Additivity Approach Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 6, 2019 (2019), Srialekua Edupalli, Vladik Y. Kreinovich.
Decision theory can explain why buying and selling prices are different Journal of Uncertain Systems 13 3 (2019), Laxman Bokati, Vladik Y. Kreinovich.
Decision theory explains 'Telescoping Effect' -- that our time perception is biased Journal of Uncertain Systems 13 2 (2019), Laxman Bokati, Vladik Y. Kreinovich.
Deep Learning (Partly) Demystified Abstracts of the 2019 IEEE Symposium Series on Computational Intelligence SSCI'2019, Xiamen, China, December 6-9, 2019 (2019), Vladik Y. Kreinovich.
Derivation of Louisville-Bratu-Gelfand Equation from Shift- or Scale-Invariance Proceedings of the World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2019, Lafayette, Louisiana, June 18-22, 2019 (2019), Leobardo Valera, Martine C. Ceberio, Vladik Y. Kreinovich.
Dunning-Kruger Effect: A Simple System-Based Explanation Mathematical Structures and Modeling 52 (2019), Griselda Acosta, Eric D. Smith, Vladik Y. Kreinovich.
Dynamic Triggering of Earthquakes: Symmetry-Based Geometric Analysis Geombinatorics 29 2 (2019), Laxman Bokati, Ricardo Alfaro, Aaron A. Velasco, Vladik Y. Kreinovich.
Dynamic Triggering of Earthquakes: Symmetry-Based Geometric Analysis Geombinatorics 29 2 (2019), Laxman Bokati, Ricardo Alfaro, Aaron A. Velasco, Vladik Y. Kreinovich.
Egyptian Fractions Re-Revisited Russian Digital Libraries Journal 22 6 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich, Francisco Zapata.
Empirical Power Law for Company Losses: A Probability-Based Explanation Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 2, 2019 (2019), Ricardo Alvarez, Laxman Bokati, Panfeng Liang, Adrian Lopez, Carlos Saldana, Ricardo Sanchez, Angel Villapando, Vladik Y. Kreinovich.
Epicycles Are Almost as Good as Trigonometric Series: General System-Based Analysis Applied Mathematical Sciences 13 16 (2019), Griselda Acosta, Eric D. Smith, Olga M. Kosheleva, Vladik Y. Kreinovich.
Extracting Computable Bounds (and Algorithms) from Classical Existence Proofs: Girard Domains Enable Us to Go Beyond Local Compactness International Journal of Intelligent Technologies and Applied Statistics (IJITAS) 12 2 (2019), Vladik Y. Kreinovich, Karen Villaverde.
Faster Quantum Alternative to Softmax Selection in Deep Learning and Deep Reinforcement Learning Proceedings of the 2019 IEEE Symposium Series on Computational Intelligence SSCI'2019, Xiamen, China, December 6-9, 2019 (2019), Oscar Galindo, Christian Ayub, Martine C. Ceberio, Vladik Y. Kreinovich.
Finding Least Expensive Tolerance Solutions and Least Expensive Tolerance Revisions: Algorithms and Computational Complexity International Journal of Intelligent Technologies and Applied Statistics (IJITAS) 12 2 (2019), Inna Pivkina, Vladik Y. Kreinovich.
For Quantum and Reversible Computing, Intervals Are More Appropriate Than General Sets, And Computing, Intervals Are More Appropriate Than General Sets, And Abstracts of the Joint 11th Conference of the European Society for Fuzzy Logic and Technology EUSFLAT'2019 and International Quantum Systems Association (IQSA) Workshop on Quantum Structures, Prague, Czech Republic, September 9-13, 2019 (2019), Vladik Y. Kreinovich, Oscar Galindo.
For Quantum and Reversible Computing, Intervals Are More Appropriate Than General Sets, And Fuzzy Numbers Than General Fuzzy Sets Proceedings of the Joint 11th Conference of the European Society for Fuzzy Logic and Technology EUSFLAT'2019 and International Quantum Systems Association (IQSA) Workshop on Quantum Satructures (2019), Oscar Galindo, Vladik Y. Kreinovich.
Fractional Linear Dependence under Interval Uncertainty: Explicit Bounds Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 2019 (2019), William Basquez, Elton Villa, Vladik Y. Kreinovich.
Fuzzy Teachniques: Theory and Applications Springer (2019), Ralph B. Kearfott, Ildar Batyrshin, Marek Reformat, Martine C. Ceberio, Vladik Y. Kreinovich.
Global Independence, Possible Local Dependence: Towards More Realistic Error Estimates for Indirect Measurements Proceedings of the XXII International Conference on Soft Computing and Measurements SCM'2019, St. Petersburg, Russia, May 23-25, 2019 (2019), Vladik Y. Kreinovich.
Hierarchial Multiclass Classification Works Better Than Direct Classification: An Explanation of the Empirical Fact Journal of Uncertain Systems 13 3 (2019), Julio C. Urenda, Nancy Avila, Nelly Gordillo, Vladik Y. Kreinovich.
Hierarchical Multiclass Classification Works Better Than Direct Classification: An Explanation of the Empirical Fact Journal of Uncertain Systems 13 3 (2019), Julio Urenda, Nancy Avila, Nelly Gordillo, Vladik Y. Kreinovich.
High concentrations naturally lead to fuzzy-type interactions and to gravitational wave bursts Proceedings of the IEEE International Conference on Fuzzy Systems FUZZ-IEEE'2019, New Orleans, Louisiana, June 23-26, 2019 (2019), Oscar Galindo, Olga M. Kosheleva, Vladik Y. Kreinovich.
How Earthquake Risk Depends on the Closeness to a Fault: Symmetry-Based Geometric Analysis Proceedings of the 29th European Safety and Reliability Conference ESREL'2019, Hannover, Germany, September 22-26, 2019 (2019), Aaron A. Velasco, Solymar Ayala, Olga M. Kosheleva, Vladik Y. Kreinovich.
How Earthquake Risk Depends on the Closeness to a Fault: Symmetry-Based Geometric Analysis (2019), Aaron A. Velasco, Solymar A. Cortez, Olga M. Kosheleva, Vladik Y. Kreinovich.
How hard is a given general problem? a practitioner's view and its relation to NP-hardness and to Abstracts of the 7th International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 22, 2019 (2019), Vladik Y. Kreinovich, Viktor Krymsky.
How Quantum Computing Can Help With (Continuous) Optimization Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 6, 2019 (2019), Christian Ayub, Martine C. Ceberio, Vladik Y. Kreinovich.
How to Apply Quantum Computing to Machine Learning Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 2, 2019 (2019), Oscar Galindo, Daniel Almeraz, Jose Perez, Vladik Y. Kreinovich.
How to Apply Software Engineering Testing Methodologies to Education Journal of Uncertain Systems 13 3 (2019), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Assign Grades to Tasks so as to Maximize Student Efforts Russian Digital Libraries Journal 22 6 (2019), Laxman Bokati, Vyacheslav Kalashnikov, Nataliya Kalashnykova, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Assign Points for Chores Russian Digital Libraries Journal 22 6 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
How to define 'and'- and 'or'-operations for intuitionistic and picture fuzzy sets Journal of Uncertain Systems 13 2 (2019), Christian Servin, Reynaldo Martinez, Peter Hanson, Leonel Lopez, Vladik Y. Kreinovich.
How to Estimate Hurwicz Value of the Union of Two Intervals If We Know the Hurwicz Values for Both Intervals? Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 2, 2019 (2019), Mahdokht Afravi, Gerardo Cervates, Xavier Martinez, Matthew Melvin, Victor Vargas, Ana Zapeda, Vladik Y. Kreinovich.
How to estimate pavement roughness: beyond International Roughness Index Journal of Uncertain Systems 13 2 (2019), Edgar Rodriguez, Carlos M. Chang Albitres, Vladik Y. Kreinovich.
How to Fuse Expert Knowledge: Not Always 'And' but a Fuzzy Combination of 'And' and 'Or" Proceedings of the World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2019, Lafayette, Louisiana, June 18-22, 2019 (2019), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Generate "Nice" Cubic Polynomials -- with Rational Coefficients, Rational Zeros and Rational Extrema: A Fast Algorithm Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 6, 2019 (2019), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to generate 'nice' cubic polynomials -- with rational coefficients, rational zeros and rational extrema: a fast algorithm Journal of Uncertain Systems 13 2 (2019), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Generate 'Nice' Cubic Polynomials -- with Rational Coefficients, Rational Zeros and Rational Extrema: A Fast Algorithm Abstracts of the 11th International Conference of Nepalese Student Association NeSA'11, Las Cruces, New Mexico, March 23, 2019 (2019), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Make a Decision Under Set Uncertainty Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 2, 2019 (2019), Laxman Bokati, Srialekya Edupalli, Mannyboy Flores, Oscar Ibarhuen, Fernando Serrano, Vladik Y. Kreinovich.
How to Make Decisions: Consider Multiple Scenarios, Consult Experts, Play Down Emotions -- Quantitative Explanation of Commonsense Ideas Journal of Uncertain Systems 13 3 (2019), Julio Urenda, Francis Biney, Marco Cardiel, Perla De La O, Anthony Desarmier, Noa Dodson, Taylor Dodson, Sebastian Gonzalez, Laura Hinojos, Jorge Huerta, Ryan Jones, Oliver Martinez, Carlos Saldana Matamoros, Manuel Munoz, Vladik Y. Kreinovich, .
How to Make Decisions: Consider Multiple Scenarios, Consult Experts, Play Down Emotions – Quantitative Explanation of Commonsense Ideas Journal of Uncertain Systems 13 3 (2019), Julio C. Urenda, Francis Biney, Marco Cardiel, Perla De La O, Anthony DesArmier, Noa Dodson, Taylor Dodson, Sebastian Gonzalez, Laura Hinojos, Jorge Huerta, Ryan Jones, Oliver Martinez, Carlos A. Saldana Matamoros, Manuel Munoz, Vladik Y. Kreinovich.
How to Organize Conferences: Systems Approach Journal of Uncertain Systems 13 3 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Use Quantum Computing to Check Which Inputs Are Relevant: A Proof That Deutsch-Jozsa Algorithm Is, In Effect, the Only Possibility Proceedings of the 2019 IEEE Symposium Series on Computational Intelligence SSCI'2019, Xiamen, China, December 6-9, 2019 (2019), Vladik Y. Kreinovich, Martine C. Ceberio, Ricardo Alvarez.
How We Can Explain Simple Empirical Memory Rules Abstracts of the IX International Conference on Mathematics Education MATHEDU'2019, Kazan, Russia, October 23-27, 2019 (2019), Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich.
How We Can Explain Simple Empirical Memory Rules Mathematical Structures and Modeling 51 (2019), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
In the Absence of Information, 1/n Investment Makes Perfect Sense Applied Mathematical Sciences 13 12 (2019), Julio C. Urenda, Vladik Y. Kreinovich.
Interval Computations as Applied Constructive Mathematics: from Shanin to Wiener and Beyond Abstracts of the St. Petersburg Days of Logic and Computability IV, St. Petersburg, Russian, May 23-26, 2019 (2019), Vladik Y. Kreinovich.
Is "No Trade Theorem" Really a Paradox: Analysis Based on Decision Theory Aplied Mathematical Sciences 13 8 (2019), Laxman Bokati, Vladik Y. Kreinovich.
Logarithms Are Not Infinity: A Rational Physics-Related Explanation of the Mysterious Statement by Lev Landau Proceedings of the World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2019, Lafayette, Louisiana, June 18-22, 2019 (2019), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
Maximum Entropy Approach to Portfolio Optimization: Economic Justification of an Intuitive Diversity Idea Asian Journal of Economics and Banking 3 2 (2019), Laxman Bokati, Vladik Y. Kreinovich.
Most Robust Fuzzy Extensions of Binary Logical Operations Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 2, 2019 (2019), Irvin L. Bosquez, Vladik Y. Kreinovich.
Multi-Lingual Education Helps to Study Mathematics Abstracts of the IX International Conference on Mathematics Education MATHEDU'2019, Kazan, Russia, October 23-27, 2019 (2019), Valery Phedotov, Olga M. Kosheleva, Vladik Y. Kreinovich.
Neutron Lifetime Puzzle and Nuclear Stability: A Possible Relation Journal of Uncertain Systems 13 3 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
Optimal distribution of testing resources between different system levels Journal of Uncertain Systems 13 2 (2019), Griselda Acosta, Eric D. Smith, Vladik Y. Kreinovich.
Perfect Reproducibility Is Not Always Algorithmically Possible: A Pedagogical Observation Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 6, 2019 (2019), Jake Lasley, , Vladik Y. Kreinovich.
Perfect reproducibility is not always algorithmically possible: a pedagogical observation Journal of Uncertain Systems 13 2 (2019), Jake Lesley, Salamah Salamah, Vladik Y. Kreinovich.
Physics' Need for Interval Uncertainty and How It Explains Why Physical Space Is (at Least) 3-Dimensional Proceedings of the Joint 11th Conference of the European Society for Fuzzy Logic and Technology EUSFLAT'2019 and International Quantum Systems Association (IQSA) Workshop on Quantum Structures, Prague, Czech Republic, September 9-13, 2019 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
Physics' Need for Interval Uncertainty and How It Explains Why Physical Space Is (at Least) 3-Dimensional Abstracts of the Joint 11th Conference of the European Society for Fuzzy Logic and Technology EUSFLAT'2019 and International Quantum Systems Association (IQSA) Workshop on Quantum Structures, Prague, Czech Republic, September 9-13, 2019 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
Preface to a special issue on uncertainty Journal of Uncertain Systems 13 2 (2019), Martine C. Ceberio, Vladik Y. Kreinovich.
Preface to special issue on uncertainty Journal of Uncertain Systems 13 (in press), Martine C. Ceberio, Vladik Y. Kreinovich.
Quantum physics explains the existence of matter Abstracts of the 7th International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 22, 2019 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
Relationship Between Measurement Results and Expert Estimates of Cumulative Quantities, on the Example of Pavement Roughness Proceedings of the 2019 IEEE Symposium Series on Computational Intelligence SSCI'2019, Xiamen, China, Decmber 6-9, 2019 (2019), Edgar Rodriguez, Carlos M. Chang Albitres, Vladik Y. Kreinovich.
Scale Invariance Explains Quadratic Damping: Case of Insect Wings Flapping Journal of Uncertain Systems 13 3 (2019), Angel Garcia Contreras, Martine C. Ceberio, Vladik Y. Kreinovich.
Smaller Standard Deviation for Initial Weights Improves Performance of Classifying Neural Networks: A Theoretical Explanation of Unexpected Simulation Results Journal of Uncertain Systems 13 3 (2019), Diego Aguirre, Philip Hassoun, Rafael Lopez, Crystal Serrano, Marcoantonio Soto, Andrea Torres, Vladik Y. Kreinovich.
Softmax and McFadden's Discrete Choice under Interval (and Other) Uncertainty Proceedings of the International Conference on Parallel Processing and Applied Mathematics PPAM'2019, Bialystok, Poland, September 8-11, 2019 2 (2019), Batlomiej Kubica, Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
Softmax and McFadden's Discrete Choice under Interval (and Other) Uncertainty Abstracts of the International Conference on Parallel Processing and Applied Mathematics PPAM'2019, Bialystok, Poland, September 8-11, 2019 (2019), Bartlomijei Kubica, Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
Systems Approach to Education: General Ideas Journal of Uncertain Systems 13 3 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
The heresy of unheard-of simplicity: Comment on 'The unreasonable effectiveness of small neural ensembles in high-dimensional brain' by A. N. Gorban, V. A. Makarov, and I. Y. Tyukin Physics of Life Reviews 29 (2019), Vladik Y. Kreinovich.
The mathematical analysis of t-norms is logically non-trivial International Journal of Intelligent Technologies and Applied Statistics (IJITAS) 12 2 (2019), Sandor Jenei, Vladik Y. Kreinovich, David Ponevac, Yaffa Al Bayyari.
Towards a More Efficient Representation of Functions in Quantum and Reversible Computing Abstracts of the Joint 11th Conference of the European Society for Fuzzy Logic and Technology EUSFLAT'2019 and International Quantum Systems Association (IQSA) Workshop on Quantum Structures, Prague, Czech Republic, September 9-13, 2019 (2019), Oscar Galindo, Laxman Bokati, Vladik Y. Kreinovich.
Towards a More Efficient Representation of Functions in Quantum and Reversible Computing Proceedings of the Joint 11th Conference of the European Society for Fuzzy Logic and Technology EUSFLAT'2019 and International Quantum Systems Association (IQSA) Workshop on Quantum Structures, Prague, Czech Republic, September 9-13, 2019 (2019), Oscar Galindo, Laxman Bokati, Vladik Y. Kreinovich.
Towards a Theoretical Explanation of How Pavement Condition Index Deteriorates over Time Journal of Uncertain Systems 13 3 (2019), Edgar Rodriguez, Carlos M. Chang Albitres, Vladik Y. Kreinovich.
Trends in technology development in the US and USSR during the Space Race Space Review (2019), Michael Howell, Venkat Kodali, Vladik Y. Kreinovich, Hyacinthe Adoudja, , Venkata Reddy, Richard Segall, Daniel Berleant.
Unexpected Empirical Dependence of Calf Gender on Insemination Time: System-Based Explanation Applied Mathematical Sciences 13 14 (2019), Griselda Acosta, Eric D. Smith, Vladik Y. Kreinovich.
Unexpected Empirical Dependence on Calf Gender on Insemination Time: System-Based Explanation Applied Mathematical Sciences (2019), Griselda Acosta, Eric D. Smith, Vladik Kreinovich.
Use of symmetries in economics: an overview Asian Journal of Economics and Banking 3 1 (2019), Vladik Y. Kreinovich, Olga M. Kosheleva, Thach N. Nguyen, Trung D. Nguyen.
Was There a Pre-Biblical 9-Ary Number System? Mathematical Structures and Modeling 50 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
When Revolutions Happen: Algebraic Approach Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 6, 2019 (2019), Julio Urenda, Vladik Y. Kreinovich.
When revolutions happen: algebraic explanation Journal of Uncertain Systems 13 2 (2019), Julio C. Urenda, Vladik Y. Kreinovich.
When revolutions happen: algebraic explanation Journal of Uncertain Systems 13 2 (2019), Vladik Y. Kreinovich, Julio Urenda.
When Revolutions Succeed? 80/20 Rule and 7 Plus Minus 2 Law Explain the 3.5% Rule Journal of Uncertain Systems 13 3 (2019), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
Which Fourier components are most informative: general idea and case studies Journal of Uncertain Systems 13 2 (2019), Julio C. Urenda, Nancy Avila, Nelly Gordillo, Vladik Y. Kreinovich.
Which Fourier components are most informative: general idea and case studies Journal of Uncertain Systems 13 2 (2019), Julio Urenda, Nancy Avila, Nelly Gordillo, Vladik Y. Kreinovich.
Why Use a Fuzzy Partition in F-Transform? Axioms 2019 8 (2019), Vladik Y. Kreinovich, Olga M. Kosheleva, Songsak Sriboonchitta.
Why A is usually 90, B is 80, etc.: a possible explanation Journal of Uncertain Systems 13 3 (2019), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Area Under the Curve in Hypothesis Testing International Mathematical Forum 14 5 (2019), Griselda Acosta, Eric D. Smith, Vladik Y. Kreinovich.
Why Bilingualism Helps Autistic Children Function: A Symmetry-Based Explanation International Mathematical Forum 14 1 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Derivative: Invariance-Based Explanation Mathematical Structures and Modeling 52 (2019), Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Experts Sometimes Do Not Perform Well in Unusual Situations Mathematical Structures and Modeling 51 (2019), Julio C. Urenda, Vladik Y. Kreinovich.
Why Experts Sometimes Do Not Perform Well in Unusual Situations Mathematical Structures and Modeling 51 (2019), Julio Urenda, Vladik Y. Kreinovich.
Why Filtering Out Higher Harmonics Makes It Easier to Carry a Tune Applied Mathematical Science 13 16 (2019), Griselda Acosta, Eric A. Freudenthal, Eric D. Smith, Vladik Y. Kreinovich.
Why Grade Distribution Is Often Multi-Modal: an Uncertainty-Based Explanation Proceedings of the World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2019, Lafayette, Louisiana, June 18-22, 2019 (2019), Olga M. Kosheleva, Christian Servin, Vladik Y. Kreinovich.
Why IQ Test Scores Are Slightly Decreasing: Possible System-Based Explanation for the Reversed Flynn Effect Journal of Uncertain Systems 13 3 (2019), Griselda Acosta, Eric D. Smith, Vladik Y. Kreinovich.
Why LINEX (Linear Exponential) Loss Functions? Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 2, 2019 (2019), Emilio Ramirez, Vladik Y. Kreinovich.
Why liquids? a symmetry-based solution to Weisskopf's challenge Journal of Uncertain Systems 13 3 (2019), Julio Urenda, Vladik Y. Kreinovich.
Why liquids? a symmetry-based solution to Weisskopf’s challenge Journal of Uncertain Systems 13 3 (2019), Julio C. Urenda, Vladik Y. Kreinovich.
Why Matrix Factorization Works Well in Recommender Systems: A Systems-Based Explanation Journal of Uncertain Systems 13 3 (2019), Griselda Acosta, Manuel Hernandez, Natalia Villanueva-Rosales, Eric D. Smith, Vladik Y. Kreinovich.
Why Patients Do Not Always Follow Doctor's Advice: Systems Approach Explains Empirical Observation Mathematical Structures and Modeling 51 (2019), Griselda Acosta, Eric D. Smith, Vladik Y. Kreinovich.
Why Patients do not Always Follow Doctor’s Advice: Systems Approach Explains Empirical Observation Mathematical Structures and Modeling (2019), Griselda Acosta, Eric D. Smith, Vladik Kreinovich.
Why Pink Noise Is Best for Enhancing Sleep and Memory: System-Based Explanation Applied Mathematical Sciences (2019), Griselda Acosta, Eric D. Smith, Vladik Kreinovich.
Why Pink Noise Is Best for Enhancing Sleep and Memory: System-Based Explanation Applied Mathematical Sciences 13 14 (2019), Griselda Acosta, Eric D. Smith, Vladik Y. Kreinovich.
Why quantum algorithms only use real-valued amplitudes: a possible explanation Abstracts of the 7th International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 22, 2019 (2019), Ricardo Alvarez, Oscar Galindo, Vladik Y. Kreinovich.
Why semantic space is 300-dimensional: a possible explanation Abstracts of the 7th International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 22, 2019 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Such a Nonlinear Process as Protein Synthesis Is Well Approximated by Linear Formulas Abstracts of the 2019 Southwest and Rocky Mountain Regional Meeting of the American Chemical Society SWRMRM'2019, El Paso, Texas, November 13-16, 2019 (in press), Vladik Y. Kreinovich, Olga M. Kosheleva, Julio Urenda.
Why The Obvious Necessary Condition is (Often) Also Sufficient (TONCAS): An Explanation of the Phenomenon Mathematical Structures and Modeling 52 (2019), Julio C. Urenda, Vladik Y. Kreinovich.
Why Top Experts Are Paid So Much: Economics-Based Explanation Applied Mathematical Sciences 13 12 (2019), Julio C. Urenda, Vladik Y. Kreinovich.
Why Triangular Membership Functions Are Successfully Used in F-Transform Applications: A Global Explanation to Supplement the Existing Local One Axioms 2019 8 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich, Thach N. Nguyen.
Why We Mostly Use 2-, 3- And 5-Based Number Systems Abstracts of the 7th International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 22, 2019 (2019), Vladik Y. Kreinovich, Jordan Caylor, Jenna Faith, Irma Martinez, Erick Nevarez, .
Why We Mostly Use 2-, 3- And 5-Based Number Systems? Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 2, 2019 (2019), Erick Nevarez, Jordan Caylor, Jenna Faith, Irma Martinez, Olga M. Kosheleva, Vladik Y. Kreinovich.
A review of "Solving a non-homogeneous linear system of interval differential equations'' by N. Gasilov and S. E. Amrahov International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 27(1) (2019), Vladik Y. Kreinovich.
A review of ``An interval-based algorithm for feature extraction from speech signals'' by A. Rauh, S. Tiede, and C. Klenke International Journal of Uncertainty, Fuzziness, and KNowledge-Based Systems 27(1) (2019), Vladik Y. Kreinovich.
A review of ``Interval-based identification of friction and hysteresis models'' by A. Rauh, J. Kersten, and A. Aschemann International Journal of Uncertainty, Fuzziness, and Knoweldge-Based Systems 27(1) (2019), Vladik Y. Kreinovich.
Algorithmic Need for Subcopulas Springer (2019), Thach N. Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
Between Dog and Wolf: A Continuous Transition from Fuzzy to Probabilistic Estimates Proceedings of the IEEE International Conference on Fuzzy Systems FUZZ-IEEE'2019, New Orleans, Louisiana, June 23-26, 2019 (2019), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich, Luc Longpré.
Beyond Traditional Probabilistic Methods in Economics Springer Verlag (2019), Vladik Y. Kreinovich, Nguyen N. Thach, Nguyen D. Trung, Dang V. Thanh.
Bhutan Landscape Anomaly: Possible Effect on Himalayan Economy (In View of Optimal Description of Elevation Profiles) Thai Journal of Mathematics Special issue Structural Change Modeling and Optimization in Econometrics 2018 (2019), Thach Nguyen, Laxman Bokati, Aaron A. Velasco, Vladik Y. Kreinovich.
Blockchains Beyond Bitcoin: Towards Optimal Level of Decentralization in Storing Financial Data Springer (2019), Thach N. Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
Can We Improve the Standard Algorithm of Interval Computation by Taking Almost Monotonicity into Account?2 Proceedings of the World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2019, Lafayette, Louisiana, June 18-22, 2019 (2019), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Computing with words: when results do not depend on the selection of the membership function Journal of Uncertain Systems 13 2 (2019), Christopher Tovar, Carlos Cervantes, Mario Delgado, Stephanie Figueroa, Caleb Gillis, Daniel Gomez, Andres Llausas, Julio C. Lopez Molinar, Mariana Rodriguez, Alexander Wieczkowski, Francisco A. Zapata-Gonzalez, Vladik Y. Kreinovich.
Decision Making Under Interval Uncertainty: Beyond Hurwicz Pessimism-Optimism Criterion Springer (2019), Tran A. Tuan, Vladik Y. Kreinovich, Thach N. Nguyen.
Detecting At-Risk Students: Empirical Results and Their Theoretical Explanation Mathematical Structures and Modeling 49 (2019), Edgar Rodriguez, Olga M. Kosheleva, Vladik Y. Kreinovich.
Ellipsoidal and Gaussian Kalman Filter Model for Discrete-Time Nonlinesr Systems Mathematics 7 (2019), Vladik Y. Kreinovich, Hamza Alkhatib, Boris Kargoll, Ligang Sun, Ingo Neumann.
Experimental determination of mechanical properties is, in general, NP-hard -- unless we measure everything Journal of Uncertain Systems 13 2 (2019), Yan Wang, Oscar Galindo, Michael Baca, Jake Lesley, Vladik Y. Kreinovich.
Foreword to the book Plamen Angelov and Xiaowei Gu, "Empirical Approach to Machine Learning", Springer Verlag Springer (in press), Vladik Y. Kreinovich.
From Gig Economy to Gig Education Mathematical Structures and Modeling 50 (2019), Olga M. Kosheleva, Julian Viera, Vladik Y. Kreinovich.
Fuzzy Approach to Optimal Placement of Health Centers Proceedings of the World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2019, Lafayette, Louisiana, June 18-22, 2019 (2019), Juan Carlos Figueroa Garcia, Carlos Franco, Vladik Y. Kreinovich.
How Accurately Can We Determine the Coefficients: Case of Interval Uncertainty Proceedings of the World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2019, Lafayette, Louisiana, June 18-22, 2019 (2019), Michal Cerny, Vladik Y. Kreinovich.
How to describe correlation in the interval case? Journal of Uncertain Systems 13 2 (2019), Carlos Jimenez, Francisco A. Zapata-Gonzalez, Vladik Y. Kreinovich.
How to explain the efficiency of triangular and trapezoid membership functions in applications to design Ontology of Designing 9 2 (2019), Afshin Gholamy, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Take Expert Uncertainty into Account: Economic Approach Illustrated by Pavement Engineering Applications Springer (2019), Edgar Rodriguez Velazquez, Carlos M. Chang Albitres, Thach N. Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich.
In its usual formulation, fuzzy computation is, in general, NP-hard, but a more realistic formulation can make it feasible Proceedings of the IEEE International Conference on Fuzzy Systems FUZZ-IEEE'2019, New Orleans, Louisiana, June 23-26, 2019 (2019), Martine C. Ceberio, Olga M. Kosheleva, Luc Longpré, Vladik Y. Kreinovich.
Preface to "Beyond Traditional Probabilistic Methods in Economics" Springer Verlag (2019), Vladik Y. Kreinovich, Nguyen N. Thach, Nguyen D. Trung, Dang V. Thanh.
Preface to "Recent Research in Control Engineering and Decision Making" Springer (2019), Olga Dolinina, Alexander Brovko, Vitaly Pechenkin, Alexey Lvov, Vadim Zhmud, Vladik Y. Kreinovich.
Preferences (Partial Pre-Orders) on Complex Numbers -- in View of Possible Use in Quantum Econometrics Thai Journal of Mathematics Special issue Structural Change Modeling and Optimization 2018 (2019), Songsak Sriboonchitta, Vladik Y. Kreinovich, Olga M. Kosheleva.
Probability-Based Approach Explains (and Even Improves) Heuristic Formulas of Defuzzification Proceedings of the 7th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM'2019, Nara, Japan, March 26-29, 2019 (2019), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
Quantum Approach Explains the Need for Expert Knowledge: On the Example of Econometrics Springer (2019), Songsak Sriboonchitta, Hung T. Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich, Thach N. Nguyen.
Recent Research in Control Engineering and Decision Making Springer (2019), Olga Dolinina, Alexander Brovko, Vitaly Pechenkin, Alexey Lvov, Vadim Zhmud, Vladik Y. Kreinovich.
Secure Multi-Agent Quantum Communication: Towards the Most Efficient Scheme (A Pedagogical Remark) Mathematical Structures and Modeling 49 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
Should School Feel Like a Family: Lessons from Business Controversy as Interpreted by Decision Making Theory Mathematical Structures and Modeling 50 (2019), Olga M. Kosheleva, Julian Viera, Vladik Y. Kreinovich.
Structural Changes and Their Econometric Modeling Springer Verlag (2019), Vladik Y. Kreinovich, Songsak Sriboonchitta.
Summation of Divergent Infinite Series: How Natural are the Current Tricks Mathematical Structures and Modeling 50 (2019), Mourat A. Tchoshanov, Olga M. Kosheleva, Vladik Y. Kreinovich.
Towards Optimal Implementation of Decentralized Currencies: How to Best Select Probabilities in an Ethereum-Type Proof-of-Stake Protocol Thai Journal of Mathematics Special issue Structural Change Modeling and Optimization in Econometrics 2018 (2019), Thach Nguyen, Christian Servin, Vladik Y. Kreinovich.
Towards Parallel Quantum Computing: Standard Quantum Teleportation Algorithm Is, in Some Reasonable Sense, Unique Proceedings of the 7th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM'2019, Nara, Japan, March 26-29, 2019 (2019), Oscar Galindo, Olga M. Kosheleva, Vladik Y. Kreinovich.
Translating Discrete Estimates into a Less Detailed Scale: An Optimal Approach Thai Journal of Mathematics Special issue Structural Change Modeling and Optimization in Econometrics 2018 (2019), Thongchai Dumrongpokaphan, Olga M. Kosheleva, Vladik Y. Kreinovich.
Use of parentheses to indicate multiplication can be confusing Mathematics Teacher 112 4 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Hammerstein-Type Block Models Are So Efficient: Case Study of Financial Econometrics Springer (2019), Thongchai Dumrongpokaphan, Afshin Gholamy, Vladik Y. Kreinovich, Phuong H. Nguyen.
Why Max Average Poolings are Optimal in Convolutional Neural Networks Proceedings of the 7th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM'2019, Nara, Japan, March 26-29, 2019 (2019), Ahnaf Farhan, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Quantum (Wave Probability) Models Are a Good Description of Many Non-Quantum Complex Systems, and How to Go Beyond Quantum Models Springer (2019), Miroslav Svitek, Olga M. Kosheleva, Vladik Y. Kreinovich, Thach N. Nguyen.
Why STEM? Mathematical Structures and Modeling 50 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
Why the Best Predictive Models Are Often Different from the Best Explanatory Models: A Theoretical Explanation Springer (2019), Songsak Sriboonchitta, Luc Longpré, Vladik Y. Kreinovich, Thongchai Dumrongpokaphan.
Why Threshold Models: A Theoretical Explanation Springer (2019), Thongchai Dumrongpokaphan, Vladik Y. Kreinovich, Songsak Sriboonchitta.
How to Best Apply Neural Networks in Geosciences: Towards Optimal 'Averaging' in Dropout Training Springer (2019), Afshin Gholamy, Justin Parra, Olac Fuentes, Vladik Y. Kreinovich, Elizabeth Y. Anthony.

Presentations

Achieving Our Professional and Personal Goals (2022), Kien H. Lim, Kathleen A. Gannon, Eric D. Smith, Vladik Y. Kreinovich, Charles R. Boehmer.
moderator of Kreinovich/Kosheleva talk in math-and-religion speaker series (2021), Olga M. Kosheleva, Vladik Y. Kreinovich, Lawrence M. Lesser.

Grants

No info available.

Current/Future Courses

Term	Course	Section	Syllabus
Fall 2024	CS 3350 - Automata/Computabi/Formal Lang	12112	Syllabus
Fall 2024	CS 3350 - Automata/Computabi/Formal Lang	13308	Syllabus
Fall 2024	CS 4371 - Computer Science Problems	17520
Fall 2024	CS 5391 - Individual Studies	18229
Fall 2024	RSRC 4033 - Undergraduate Research	11767

Past Courses

Select Term:

Term	Course	Section	Syllabus
Summer 2024	CS 4371 - Computer Science Problems	30211
Spring 2024	CS 3350 - Automata/Computabi/Formal Lang	21027	Syllabus
Spring 2024	CS 4371 - Computer Science Problems	21985
Spring 2024	CS 5315 - Theory of Computation	21125	Syllabus
Spring 2024	CS 6315 - Theory of Computation	22790	Syllabus
Fall 2023	CS 3350 - Automata/Computabi/Formal Lang	12491	Syllabus
Fall 2023	CS 5351 - Interval Computations	16173	Syllabus
Fall 2023	CS 4365 - Topics in Soft Computing	13118	Syllabus
Summer 2023	RSRC 4033 - Undergraduate Research	32524
Spring 2023	CS 3350 - Automata/Computabi/Formal Lang	21114	Syllabus
Spring 2023	CS 4371 - Computer Science Problems	22167
Spring 2023	CS 5315 - Theory of Computation	21221	Syllabus
Spring 2023	CS 6315 - Theory of Computation	23075	Syllabus
Fall 2022	CS 3350 - Automata/Computabi/Formal Lang	17611	Syllabus
Fall 2022	CPS 6399 - Dissertation	18537
Fall 2022	CS 5399 - Master's Thesis	10440
Fall 2022	CS 4365 - Topics in Soft Computing	15920	Syllabus
Fall 2022	CS 5354 - Topics/Intelligent Computing	15333	Syllabus
Fall 2022	RSRC 4033 - Undergraduate Research	13876
Summer 2022	CS 4371 - Computer Science Problems	30419
Spring 2022	CS 3350 - Automata/Computabi/Formal Lang	21419	Syllabus
Spring 2022	CS 4371 - Computer Science Problems	22543
Spring 2022	CPS 6399 - Dissertation	25898
Spring 2022	CS 5398 - Master's Thesis	20341
Spring 2022	CS 5315 - Theory of Computation	21545	Syllabus
Spring 2022	CS 6315 - Theory of Computation	24488	Syllabus
Spring 2022	RSRC 4033 - Undergraduate Research	23781
Fall 2021	CS 3350 - Automata/Computabi/Formal Lang	14853	Syllabus
Fall 2021	CS 4371 - Computer Science Problems	10390
Fall 2021	CPS 6399 - Dissertation	17557
Fall 2021	CS 5351 - Interval Computations	18073
Fall 2021	CS 5399 - Master's Thesis	10440
Fall 2021	CS 4365 - Topics in Soft Computing	15872
Fall 2021	RSRC 4033 - Undergraduate Research	13858
Summer 2021	CS 4365 - Topics in Soft Computing	35878	Syllabus
Summer 2021	CS 5354 - Topics/Intelligent Computing	35879	Syllabus
Spring 2021	CS 3350 - Automata/Computabi/Formal Lang	21555	Syllabus
Spring 2021	CPS 6399 - Dissertation	28187
Spring 2021	CPS 6397 - Doctoral Project	27564
Spring 2021	CPS 6396 - Graduate Research	29359
Spring 2021	CS 5398 - Master's Thesis	20372
Spring 2021	CS 5315 - Theory of Computation	21689	Syllabus
Spring 2021	CS 6315 - Theory of Computation	24868	Syllabus
Spring 2021	RSRC 4033 - Undergraduate Research	24119
Fall 2020	CS 3350 - Automata/Computabi/Formal Lang	15097	Syllabus
Fall 2020	CPS 6398 - Dissertation	19626
Fall 2020	CS 4365 - Topics in Soft Computing	16150	Syllabus
Fall 2020	CS 5354 - Topics/Intelligent Computing	15560	Syllabus
Fall 2020	RSRC 4033 - Undergraduate Research	14072
Summer 2020	RSRC 4033 - Undergraduate Research	32858
Spring 2020	CS 3350 - Automata/Computabi/Formal Lang	21752
Spring 2020	CPS 6397 - Doctoral Project	29329
Spring 2020	CS 5315 - Theory of Computation	21928
Spring 2020	CS 6315 - Theory of Computation	25411
Spring 2020	RSRC 4033 - Undergraduate Research	24633
Fall 2019	CS 3350 - Automata/Computabi/Formal Lang	15459
Fall 2019	CPS 5396 - Graduate Interdisciplinary Res	19186
Fall 2019	CPS 6396 - Graduate Research	12628
Fall 2019	CS 5391 - Individual Studies	10449
Fall 2019	CS 6391 - Individual Studies	13559
Fall 2019	CS 4365 - Topics in Soft Computing	16657
Fall 2019	CS 5354 - Topics/Intelligent Computing	15977
Fall 2019	RSRC 4033 - Undergraduate Research	14369
Spring 2019	CS 3350 - Automata/Computabi/Formal Lang	21859
Spring 2019	BME 6399 - Dissertation	29313
Spring 2019	CPS 5399 - Graduate Thesis	29366
Spring 2019	CS 5315 - Theory of Computation	22048
Spring 2019	CS 6315 - Theory of Computation	25808
Spring 2019	RSRC 4033 - Undergraduate Research	24982
Fall 2018	CS 3350 - Automata/Computabi/Formal Lang	15890	Syllabus
Fall 2018	CPS 5397 - Graduate Research	12945
Fall 2018	CPS 5398 - Graduate Thesis	12935
Fall 2018	CS 4365 - Topics in Soft Computing	17473	Syllabus
Fall 2018	CS 5354 - Topics/Intelligent Computing	16525	Syllabus
Fall 2018	RSRC 4033 - Undergraduate Research	14713
Summer 2018	CS 4371 - Computer Science Problems	30540
Summer 2018	CS 6391 - Individual Studies	32201
Spring 2018	CS 3350 - Automata/Computabi/Formal Lang	22010	Syllabus
Spring 2018	CS 5315 - Theory of Computation	22206	Syllabus
Spring 2018	CS 6315 - Theory of Computation	26357	Syllabus
Fall 2017	CS 3350 - Automata/Computabi/Formal Lang	16465	Syllabus
Fall 2017	CPS 6399 - Dissertation	13412
Fall 2017	CS 5351 - Interval Computations	18911	Syllabus
Fall 2017	CS 4365 - Topics in Soft Computing	18913	Syllabus
Summer 2017	CS 3360 - Design/Implementation Prog Lan	36001	Syllabus
Summer 2017	RSRC 4033 - Undergraduate Research	33627
Spring 2017	CS 3350 - Automata/Computabi/Formal Lang	22084	Syllabus
Spring 2017	CPS 6398 - Dissertation	23335
Spring 2017	CPS 6397 - Doctoral Project	22797
Spring 2017	CPS 6396 - Graduate Research	23374
Spring 2017	CS 5315 - Theory of Computation	22292	Syllabus
Spring 2017	CS 6315 - Theory of Computation	27048	Syllabus
Spring 2017	RSRC 4033 - Undergraduate Research	25808

Course Evaluations

Term	Course	Section	Evaluation
Spring 2024	CS 3350 - Automata/Computabi/Formal Lang	21027	Evaluation
Spring 2024	CS 5315 - Theory of Computation	21125	Evaluation
Spring 2024	CS 6315 - Theory of Computation	22790	Evaluation
Fall 2023	CS 3350 - Automata/Computabi/Formal Lang	12491	Evaluation
Fall 2023	CS 5351 - Interval Computations	16173	Evaluation
Fall 2023	CS 4365 - Topics in Soft Computing	13118	Evaluation
Spring 2023	CS 3350 - Automata/Computabi/Formal Lang	21114	Evaluation
Spring 2023	CS 5315 - Theory of Computation	21221	Evaluation
Spring 2023	CS 6315 - Theory of Computation	23075	Evaluation
Fall 2022	CS 3350 - Automata/Computabi/Formal Lang	17611	Evaluation
Fall 2022	CS 4365 - Topics in Soft Computing	15920	Evaluation
Fall 2022	CS 5354 - Topics/Intelligent Computing	15333	Evaluation
Spring 2022	CS 3350 - Automata/Computabi/Formal Lang	21419	Evaluation
Spring 2022	CS 5315 - Theory of Computation	21545	Evaluation
Spring 2022	CS 6315 - Theory of Computation	24488	Evaluation
Fall 2021	CS 3350 - Automata/Computabi/Formal Lang	14853	Evaluation
Fall 2021	CS 5351 - Interval Computations	18073	Evaluation
Fall 2021	CS 4365 - Topics in Soft Computing	15872	Evaluation
Summer 2021	CS 4365 - Topics in Soft Computing	35878	Evaluation
Summer 2021	CS 5354 - Topics/Intelligent Computing	35879	Evaluation
Spring 2021	CS 3350 - Automata/Computabi/Formal Lang	21555	Evaluation
Spring 2021	CS 5315 - Theory of Computation	21689	Evaluation
Spring 2021	CS 6315 - Theory of Computation	24868	Evaluation
Fall 2020	CS 3350 - Automata/Computabi/Formal Lang	15097	Evaluation
Fall 2020	CS 5694 - Graduate Research	10458	Evaluation
Fall 2020	CS 4365 - Topics in Soft Computing	16150	Evaluation
Fall 2020	CS 5354 - Topics/Intelligent Computing	15560	Evaluation
Spring 2020	CS 3350 - Automata/Computabi/Formal Lang	21752	Evaluation
Spring 2020	CS 5315 - Theory of Computation	21928	Evaluation
Spring 2020	CS 6315 - Theory of Computation	25411	Evaluation
Fall 2019	CS 3350 - Automata/Computabi/Formal Lang	15459	Evaluation
Fall 2019	CS 4365 - Topics in Soft Computing	16657	Evaluation
Fall 2019	CS 5354 - Topics/Intelligent Computing	15977	Evaluation
Spring 2019	CS 3350 - Automata/Computabi/Formal Lang	21859	Evaluation
Spring 2019	CS 5315 - Theory of Computation	22048	Evaluation
Spring 2019	CS 6315 - Theory of Computation	25808	Evaluation

Bio

No info available.

Awards and Honors

Outstanding Paper Award and Honorable Mention for a Student Paper, Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2024, South Padre Island, Texas, May 27-29, 2024 - North American Fuzzy Information Processing Society (01/01/2024-12/31/2024)
Best Presentation Award for the 20th Congress of the International Fuzzy Systems Association IFSA 2023, Daegu, South Korea, August 20-23, 2023 - International Fuzzy Systems Association IFSA (01/01/2023-12/31/2023)
Outstanding Reviewer Award - Asian Journal of Economics and Banking (01/01/2023-12/31/2023)
Outstanding Reviewer Award - Asian Journal of Economics and Banking (01/01/2023-12/31/2023)
Three Outstanding Paper Awards, Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 - North American Fuzzy Information Processing Society (01/01/2023-12/31/2023)
Recognition Award, 20th World Congress of the International Fuzzy Systems Association, Daegu, South Korea, August 20-23, 2023 - International Fuzzy Systems Association IFSA (08/22/2023)
Best Paper Award, Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2022 - North American Fuzzy Information Processing Society NAFIPS (01/01/2022-12/31/2022)
Best Student Paper Award, Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2022 - North American Fuzzy Information Processing Society NAFIPS (01/01/2022-12/31/2022)
K. S. Fu Award for Contributions to the North American Fuzzy Information Processing Society - North American Fuzzy Information Processing Society (01/01/2022-12/31/2022)
Two Outstanding Paper Award, Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2022 - North American Fuzzy Information Processing Society NAFIPS (01/01/2022-12/31/2022)
Best Student Paper Award, 8th World Conference on Soft Computing WConSC'2022, Baku, Azerbaijan, February 3-5, 2022 - 8th World Conference on Soft Computing WConSC'2022, Baku, Azerbaijan, February 3-5, 2022 (02/05/2022)
Best Student Paper Award, Interval Session, Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 - North American Fuzzy Information Processing Society (01/01/2021-12/31/2021)
AT&T Fellowship in Information Technology for 2021/2028 - AT&T (09/01/2021)
Outstanding Paper Award - International Conference on Intelligent and Fuzzy Systems INFUS'2021, Istanbul, Turkey, August 24-26, 2021 (08/26/2021)
Best Paper Award - 1st International Symposium on Artificial Intelligence and Applications, Melbourne, Australia, September 7-11, 2020 (09/11/2020)
Best Student Paper Award - Annual Workshop on Constraint Programming and Decision Making CoProd'2020, Redmond, Washington, August 19, 2020 (07/04/2020)
IEEE Systems, Man, and Cybernetics Society Meritorious Service Award - IEEE Systems, Man, and Cybernetics Society (10/07/2019)
Fellow of the Russian Association for Fuzzy Systems and Soft Computing - Russian Association for Fuzzy Systems and Soft Computing (05/01/2019-05/31/2019)
Doctor Honoris Causa - Ostrava University, Czech Republic (10/08/2018)
Senior Member - Association for Computing Machinery (ACM) (01/12/2018)
Fellow - International Fuzzy Systems Association (01/01/2017-12/31/2017)
Fellow - Mexican Society for Artificial Intelligence SMIA (01/01/2017-12/31/2017)
Best 2014 Individual Paper - International Journal of General Systems (01/01/2015-12/31/2015)
2015 Society for Design and Process Science (SDPS) Fay and Lotfi A. Zadeh Award for Major Contributions to the Theory and Applications of Fuzzy Systems and Related Fields - Society for Design and Process Science (SDPS) (11/03/2015)
Outstanding Paper Award - Joint Annual Conference of the North American Fuzzy Information processing Society NAFIPS'2015 and 5th World Conference on Soft Computing, Redmond, Washington, August 17-19, 2015 (08/18/2015)
Best Thesis Award - College of Science, University of Texas at El Paso (01/01/2014-12/31/2014)
Excellent Paper Award - 11th International Symposium on Management Engineering, Kitakyushu, Japan, July 27-30, 2014 (01/01/2014-12/31/2014)
Life Fellow - International Society of Management Engineers (01/01/2014-12/31/2014)
Best Student Interval Paper Award - Joint World Congress of the International Fuzzy Systems Association and an Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2013, Edmonton, Canada, June 24-28, 2013 (06/01/2013-06/30/2013)
Best Paper Award - 2012 International Conference of the North American Fuzzy Information Processing Society NAFIPS'2012, Berkeley, California, August 6-8, 2012 (08/01/2012-08/31/2012)
Best Paper Award - Annual Conference of the North American Fuzzy Information Processing Society, El Paso, Texas, March 2011 (03/01/2011-03/31/2011)
Meritorious Paper Award - 2010 International Conference of the North American Fuzzy Information Processing Society NAFIPS'2010, Toronto, Canada, July 12-15, 2010 (07/01/2010-07/31/2010)
Best Paper Award - 1st Latin-American Workshop on Non-Monotonic Reasoning LA-NMR'2004, Mexico City, Mexico, April 26, 2004 (04/01/2004-04/30/2004)
El Paso Energy Foundation Faculty Achievement Award for Research - University of Texas at El Paso (01/01/2003-12/31/2003)
Best Dissertation Award - University of Texas at El Paso (01/01/2002-12/31/2002)
Top Performer in Teaching and Research Categories - College of Engineering, University of Texas at El Paso (01/01/2001-12/31/2001)
Top Performer in the Teaching Category - College of Egineering, University of Texas at El Paso (01/01/1999-12/31/1999)
Award for Excellence for Student Services - College of Engineering, University of Texas at El Paso (01/01/1992-12/31/1992)

Ph D in Mathematics, Institute of Mathematics, Siberian Branch, Soviet Academy of Sciences (1979)
BS in Computer Science, Leningrad University (1974)
MS in Mathematics , Leningrad University (1974)

Publications

A Generative Model for Assessing Computing Education: The Fuzzy Bloom's Taxonomy Approach Proceedings of the NAFIPS International Conference on Fuzzy Systems, Soft Computing, and Explainable AI NAFIPS'2024, South Padre Island, Texas, May 27-29, 2024 (in press), Dan Padilla, Olga M. Kosheleva, Vladik Y. Kreinovich.
A Pre-Bohr Explanation of the Periodic Table: How Could a Wrong Theory Fit Data So Well? Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 6, 2024 (2024), Alejandra Maciel Cuevas, Olga M. Kosheleva, Vladik Y. Kreinovich.
A review of "A collaborative Bayesian optimization method for estimation of failure probability bounds under mixed uncertainties" by F. Hong, P. Wei, J. Song, M. Valdebenito, M. G. R. Faes, and M. Beer, and "Estimation of failure probability function and its bounds under random and interval variables: A fully decoupled approach using Bayesian active learning" by J. Liu, C. Dang, M. G. R. Faes, M. A. Valdebenito, and M. Beer. International Journal of Fuzziness, Uncertainty, and Knowledge-Based Systems 32 3 (in press), Vladik Y. Kreinovich.
A review of "A collaborative Bayesian optimization method for estimation of failure probability bounds under mixed uncertainties" by F. Hong, P. Wei, J. Song, M. Valdebenito, M. G. R. Faes, and M. Beer, and "Estimation of failure probability function and its bounds under random and interval variables: A fully decoupled approach using Bayesian active learning" by J. Liu, C. Dang, M. G. R. Faes, M. A. Valdebenito, and M. Beer International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 32 3 (2024), Vladik Y. Kreinovich.
A review of "A novel Multi-Criteria Decision Making framework based on Evidential Reasoning dealing with missing information from online reviews" by S.-F. He, X.-H. Pan, Y.-M. Wang, D. Garcia Zamora, and L. Martinez International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 32 8 (in press), Vladik Y. Kreinovich.

Presentations

Achieving Our Professional and Personal Goals (2022), Kien H. Lim, Kathleen A. Gannon, Eric D. Smith, Vladik Y. Kreinovich, Charles R. Boehmer.
moderator of Kreinovich/Kosheleva talk in math-and-religion speaker series (2021), Olga M. Kosheleva, Vladik Y. Kreinovich, Lawrence M. Lesser.

No info available.

Current/Future Courses

Term

Fall 2024

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

12112

Syllabus

Term

Fall 2024

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

13308

Syllabus

Term

Fall 2024

Course

CS 4371 - Computer Science Problems

Section

17520

Syllabus

Term

Fall 2024

Course

CS 5391 - Individual Studies

Section

18229

Syllabus

Term

Fall 2024

Course

RSRC 4033 - Undergraduate Research

Section

11767

Syllabus

Past Courses

Select Term:

Term

Summer 2024

Course

CS 4371 - Computer Science Problems

Section

30211

Syllabus

Term

Spring 2024

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

21027

Syllabus

Term

Spring 2024

Course

CS 4371 - Computer Science Problems

Section

21985

Syllabus

Term

Spring 2024

Course

CS 5315 - Theory of Computation

Section

21125

Syllabus

Term

Spring 2024

Course

CS 6315 - Theory of Computation

Section

22790

Syllabus

Term

Fall 2023

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

12491

Syllabus

Term

Fall 2023

Course

CS 5351 - Interval Computations

Section

16173

Syllabus

Term

Fall 2023

Course

CS 4365 - Topics in Soft Computing

Section

13118

Syllabus

Term

Summer 2023

Course

RSRC 4033 - Undergraduate Research

Section

32524

Syllabus

Term

Spring 2023

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

21114

Syllabus

Term

Spring 2023

Course

CS 4371 - Computer Science Problems

Section

22167

Syllabus

Term

Spring 2023

Course

CS 5315 - Theory of Computation

Section

21221

Syllabus

Term

Spring 2023

Course

CS 6315 - Theory of Computation

Section

23075

Syllabus

Term

Fall 2022

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

17611

Syllabus

Term

Fall 2022

Course

CPS 6399 - Dissertation

Section

18537

Syllabus

Term

Fall 2022

Course

CS 5399 - Master's Thesis

Section

10440

Syllabus

Term

Fall 2022

Course

CS 4365 - Topics in Soft Computing

Section

15920

Syllabus

Term

Fall 2022

Course

CS 5354 - Topics/Intelligent Computing

Section

15333

Syllabus

Term

Fall 2022

Course

RSRC 4033 - Undergraduate Research

Section

13876

Syllabus

Term

Summer 2022

Course

CS 4371 - Computer Science Problems

Section

30419

Syllabus

Term

Spring 2022

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

21419

Syllabus

Term

Spring 2022

Course

CS 4371 - Computer Science Problems

Section

22543

Syllabus

Term

Spring 2022

Course

CPS 6399 - Dissertation

Section

25898

Syllabus

Term

Spring 2022

Course

CS 5398 - Master's Thesis

Section

20341

Syllabus

Term

Spring 2022

Course

CS 5315 - Theory of Computation

Section

21545

Syllabus

Term

Spring 2022

Course

CS 6315 - Theory of Computation

Section

24488

Syllabus

Term

Spring 2022

Course

RSRC 4033 - Undergraduate Research

Section

23781

Syllabus

Term

Fall 2021

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

14853

Syllabus

Term

Fall 2021

Course

CS 4371 - Computer Science Problems

Section

10390

Syllabus

Term

Fall 2021

Course

CPS 6399 - Dissertation

Section

17557

Syllabus

Term

Fall 2021

Course

CS 5351 - Interval Computations

Section

18073

Syllabus

Term

Fall 2021

Course

CS 5399 - Master's Thesis

Section

10440

Syllabus

Term

Fall 2021

Course

CS 4365 - Topics in Soft Computing

Section

15872

Syllabus

Term

Fall 2021

Course

RSRC 4033 - Undergraduate Research

Section

13858

Syllabus

Term

Summer 2021

Course

CS 4365 - Topics in Soft Computing

Section

35878

Syllabus

Term

Summer 2021

Course

CS 5354 - Topics/Intelligent Computing

Section

35879

Syllabus

Term

Spring 2021

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

21555

Syllabus

Term

Spring 2021

Course

CPS 6399 - Dissertation

Section

28187

Syllabus

Term

Spring 2021

Course

CPS 6397 - Doctoral Project

Section

27564

Syllabus

Term

Spring 2021

Course

CPS 6396 - Graduate Research

Section

29359

Syllabus

Term

Spring 2021

Course

CS 5398 - Master's Thesis

Section

20372

Syllabus

Term

Spring 2021

Course

CS 5315 - Theory of Computation

Section

21689

Syllabus

Term

Spring 2021

Course

CS 6315 - Theory of Computation

Section

24868

Syllabus

Term

Spring 2021

Course

RSRC 4033 - Undergraduate Research

Section

24119

Syllabus

Term

Fall 2020

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

15097

Syllabus

Term

Fall 2020

Course

CPS 6398 - Dissertation

Section

19626

Syllabus

Term

Fall 2020

Course

CS 4365 - Topics in Soft Computing

Section

16150

Syllabus

Term

Fall 2020

Course

CS 5354 - Topics/Intelligent Computing

Section

15560

Syllabus

Term

Fall 2020

Course

RSRC 4033 - Undergraduate Research

Section

14072

Syllabus

Term

Summer 2020

Course

RSRC 4033 - Undergraduate Research

Section

32858

Syllabus

Term

Spring 2020

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

21752

Syllabus

Term

Spring 2020

Course

CPS 6397 - Doctoral Project

Section

29329

Syllabus

Term

Spring 2020

Course

CS 5315 - Theory of Computation

Section

21928

Syllabus

Term

Spring 2020

Course

CS 6315 - Theory of Computation

Section

25411

Syllabus

Term

Spring 2020

Course

RSRC 4033 - Undergraduate Research

Section

24633

Syllabus

Term

Fall 2019

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

15459

Syllabus

Term

Fall 2019

Course

CPS 5396 - Graduate Interdisciplinary Res

Section

19186

Syllabus

Term

Fall 2019

Course

CPS 6396 - Graduate Research

Section

12628

Syllabus

Term

Fall 2019

Course

CS 5391 - Individual Studies

Section

10449

Syllabus

Term

Fall 2019

Course

CS 6391 - Individual Studies

Section

13559

Syllabus

Term

Fall 2019

Course

CS 4365 - Topics in Soft Computing

Section

16657

Syllabus

Term

Fall 2019

Course

CS 5354 - Topics/Intelligent Computing

Section

15977

Syllabus

Term

Fall 2019

Course

RSRC 4033 - Undergraduate Research

Section

14369

Syllabus

Term

Spring 2019

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

21859

Syllabus

Term

Spring 2019

Course

BME 6399 - Dissertation

Section

29313

Syllabus

Term

Spring 2019

Course

CPS 5399 - Graduate Thesis

Section

29366

Syllabus

Term

Spring 2019

Course

CS 5315 - Theory of Computation

Section

22048

Syllabus

Term

Spring 2019

Course

CS 6315 - Theory of Computation

Section

25808

Syllabus

Term

Spring 2019

Course

RSRC 4033 - Undergraduate Research

Section

24982

Syllabus

Term

Fall 2018

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

15890

Syllabus

Term

Fall 2018

Course

CPS 5397 - Graduate Research

Section

12945

Syllabus

Term

Fall 2018

Course

CPS 5398 - Graduate Thesis

Section

12935

Syllabus

Term

Fall 2018

Course

CS 4365 - Topics in Soft Computing

Section

17473

Syllabus

Term

Fall 2018

Course

CS 5354 - Topics/Intelligent Computing

Section

16525

Syllabus

Term

Fall 2018

Course

RSRC 4033 - Undergraduate Research

Section

14713

Syllabus

Term

Summer 2018

Course

CS 4371 - Computer Science Problems

Section

30540

Syllabus

Term

Summer 2018

Course

CS 6391 - Individual Studies

Section

32201

Syllabus

Term

Spring 2018

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

22010

Syllabus

Term

Spring 2018

Course

CS 5315 - Theory of Computation

Section

22206

Syllabus

Term

Spring 2018

Course

CS 6315 - Theory of Computation

Section

26357

Syllabus

Term

Fall 2017

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

16465

Syllabus

Term

Fall 2017

Course

CPS 6399 - Dissertation

Section

13412

Syllabus

Term

Fall 2017

Course

CS 5351 - Interval Computations

Section

18911

Syllabus

Term

Fall 2017

Course

CS 4365 - Topics in Soft Computing

Section

18913

Syllabus

Term

Summer 2017

Course

CS 3360 - Design/Implementation Prog Lan

Section

36001

Syllabus

Term

Summer 2017

Course

RSRC 4033 - Undergraduate Research

Section

33627

Syllabus

Term

Spring 2017

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

22084

Syllabus

Term

Spring 2017

Course

CPS 6398 - Dissertation

Section

23335

Syllabus

Term

Spring 2017

Course

CPS 6397 - Doctoral Project

Section

22797

Syllabus

Term

Spring 2017

Course

CPS 6396 - Graduate Research

Section

23374

Syllabus

Term

Spring 2017

Course

CS 5315 - Theory of Computation

Section

22292

Syllabus

Term

Spring 2017

Course

CS 6315 - Theory of Computation

Section

27048

Syllabus

Term

Spring 2017

Course

RSRC 4033 - Undergraduate Research

Section

25808

Syllabus

Term

Spring 2024

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

21027

Evaluation

Term

Spring 2024

Course

CS 5315 - Theory of Computation

Section

21125

Evaluation

Term

Spring 2024

Course

CS 6315 - Theory of Computation

Section

22790

Evaluation

Term

Fall 2023

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

12491

Evaluation

Term

Fall 2023

Course

CS 5351 - Interval Computations

Section

16173

Evaluation

Term

Fall 2023

Course

CS 4365 - Topics in Soft Computing

Section

13118

Evaluation

Term

Spring 2023

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

21114

Evaluation

Term

Spring 2023

Course

CS 5315 - Theory of Computation

Section

21221

Evaluation

Term

Spring 2023

Course

CS 6315 - Theory of Computation

Section

23075

Evaluation

Term

Fall 2022

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

17611

Evaluation

Term

Fall 2022

Course

CS 4365 - Topics in Soft Computing

Section

15920

Evaluation

Term

Fall 2022

Course

CS 5354 - Topics/Intelligent Computing

Section

15333

Evaluation

Term

Spring 2022

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

21419

Evaluation

Term

Spring 2022

Course

CS 5315 - Theory of Computation

Section

21545

Evaluation

Term

Spring 2022

Course

CS 6315 - Theory of Computation

Section

24488

Evaluation

Term

Fall 2021

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

14853

Evaluation

Term

Fall 2021

Course

CS 5351 - Interval Computations

Section

18073

Evaluation

Term

Fall 2021

Course

CS 4365 - Topics in Soft Computing

Section

15872

Evaluation

Term

Summer 2021

Course

CS 4365 - Topics in Soft Computing

Section

35878

Evaluation

Term

Summer 2021

Course

CS 5354 - Topics/Intelligent Computing

Section

35879

Evaluation

Term

Spring 2021

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

21555

Evaluation

Term

Spring 2021

Course

CS 5315 - Theory of Computation

Section

21689

Evaluation

Term

Spring 2021

Course

CS 6315 - Theory of Computation

Section

24868

Evaluation

Term

Fall 2020

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

15097

Evaluation

Term

Fall 2020

Course

CS 5694 - Graduate Research

Section

10458

Evaluation

Term

Fall 2020

Course

CS 4365 - Topics in Soft Computing

Section

16150

Evaluation

Term

Fall 2020

Course

CS 5354 - Topics/Intelligent Computing

Section

15560

Evaluation

Term

Spring 2020

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

21752

Evaluation

Term

Spring 2020

Course

CS 5315 - Theory of Computation

Section

21928

Evaluation

Term

Spring 2020

Course

CS 6315 - Theory of Computation

Section

25411

Evaluation

Term

Fall 2019

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

15459

Evaluation

Term

Fall 2019

Course

CS 4365 - Topics in Soft Computing

Section

16657

Evaluation

Term

Fall 2019

Course

CS 5354 - Topics/Intelligent Computing

Section

15977

Evaluation

Term

Spring 2019

Course

CS 3350 - Automata/Computabi/Formal Lang

Section

21859

Evaluation

Term

Spring 2019

Course

CS 5315 - Theory of Computation

Section

22048

Evaluation

Term

Spring 2019

Course

CS 6315 - Theory of Computation

Section

25808

Evaluation

FACULTY PROFILES

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Vladik Y. Kreinovich

FACULTY PROFILES

Vladik Y. Kreinovich

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Education

Scholarly and Creative Activity

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Course Evaluations