UTEP Faculty Profiles

Main Content

Olga M. Kosheleva

Department Co-Chair
Teacher Education

Associate Professor
Teacher Education

Office Building: Education Building
Office Room: 801D
Phone: (915) 747-7588
Email: olgak@utep.edu

Expertise: See Research Profile in Expertise Connector

Bio

Dr. Kosheleva's areas of expertise are in mathematics education in teacher preparation, curriculum development with focus on Science, Technology, Engineering and Mathematics (STEM) integration and applied mathematics. Her primary education goal is to motivate student teachers to teach mathematics and science effectively so that they will create the same love for those topics that she herself developed as a young child. Dr. Kosheleva completed her Ph.D. in Computer Engineering at The University of Texas at El Paso in 2003. More information can be found at: https://www.cs.utep.edu/vladik/olgavita.html

Awards and Honors

Dr. Olga Kosheleva - 2010 International Conference of the North American Fuzzy Information Processing Society NAFIPS'2010, Toronto, Canada, July 12-15, 2010 (07/15/2010)
Dr. Olga Kosheleva - College of Education, University of Texas at El Paso (05/15/2010)
Dr. Olga Kosheleva - College of Education, University of Texas at El Paso (05/14/2010)

Education

Ph D in Computer Engineering, University of Texas at El Paso (2003)
MS in Computer Science, University of Texas at El Paso (1994)
Radioastronomy, Special Astrophysical Observatory of the Russian Academy of Science (1982)
MS in Mathematics and Applied Mathematics, Novosibirsk State University (1978)

Publications

A Natural Extension of F-Transform to Triangular and Triangulated Domains Necessitates the Use of Triangular Membership Functions Proceedings of the 13th Conference of the European Society for Fuzzy Logic and Technology EUSFLAT 2025, Riga, Latvia, July 21-25, 2025 (in press), Hana Zamecnikova, Irina Perfilieva, Olga M. Kosheleva, Vladik Y. Kreinovich.
All We (and LLMs) Need Is Fuzzy: An Argument Proceedings of the IEEE International Conference on Fuzzy Systems FUZZ-IEEE 2025, Reims, France, July 6-9, 2025 (in press), Olga M. Kosheleva, Vladik Y. Kreinovich.
How to compare situations in which we measure different quantities with different interval uncertainty Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 12, 2025 (2025), Jahangir Alam, Ismail Hossain, Tausif Hossain, Md Nuruzzaman Sojib, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Deal with High-Impact Low-Probability Events: Theoretical Explanation of the Empirically Successful Fuzzy-Like Technique Proceedings of the 13th Conference of the European Society for Fuzzy Logic and Technology EUSFLAT 2025, Riga, Latvia, July 21-25, 2025 (in press), Juan Ulloa, Aaron A. Velasco, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Share a Success, How to Share a Crisis, and How All This Is Related to Fuzzy Proceedings of the 13th Conference of the European Society for Fuzzy Logic and Technology EUSFLAT 2025, Riga, Latvia, July 21-25, 2025 (in press), Olga M. Kosheleva, Vladik Y. Kreinovich.
Paradox of love and how religion seems to avoid it Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 12, 2025 (2025), Christina Carreon-Jimenez, Claire MacDonald, James Newson, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why burst of physical activity is good for your health Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 12, 2025 (2025), Jhonny Gonzalez, Jose Gonzalez, Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why skew-normal distributions and how it is related to ReLU activation function in deep learning Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 12, 2025 (2025), Damian Lorenzo Gallegos Espinoza, Olga M. Kosheleva, Vladik Y. Kreinovich, .
A Full Description of All Commutative Associative Polynomial Operations on Probabilities Abstracts of the 6th International Conference on Artificial Intelligence and Computational Intelligence AICI'2025, Hanoi, Vietnam, January 5-6, 2025 (2025), Miroslav Svitek, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
How Shapley Value and Its Generalizations Can Help in the Analysis of Complex Engineering Systems and What Next Proceedings of the 11th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM 2025, Ho Chi Minh City, Vietnam, March 17-19, 2025 2 (2025), Niklas Winnewisser, Michael Beer, Olga M. Kosheleva, Vladik Y. Kreinovich.
To Which Interdisciplinary Research Collaborations Should We Pay More Attention? Abstracts of the 6th International Conference on Artificial Intelligence and Computational Intelligence AICI'2025, Hanoi, Vietnam, January 5-6, 2025 (2025), Miroslav Svitek, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
What Is Optimal Granularity When Estimating Reliability of a Complex Engineering Systems Proceedings of the 11th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM 2025, Ho Chi Minh City, Vietnam, March 17-19, 2025 2 (2025), Niklas Winnewisser, Michael Beer, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Green Wavelength Is Closer to Blue Than to Red and How It Is Related to Computations: Information-Based Explanation Abstracts of the 6th International Conference on Artificial Intelligence and Computational Intelligence AICI'2025, Hanoi, Vietnam, January 5-6, 2025 (2025), Victor L. Timchenko, Yuriy Kondratenko, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
Why Kolmolgorov-Arnold Networks (KAN) Work So Well: A Qualitative Explanation Abstracts of the 6th International Conference on Artificial Intelligence and Computational Intelligence AICI'2025, Hanoi, Vietnam, January 5-6, 2025 (2025), Hung T. Nguyen, Vladik Y. Kreinovich, Olga M. Kosheleva.
Why Linear Faults Have Fewer Earthquakes: A Geometric Explanation Geombinatorics 34 4 (2025), Julio C. Urenda, Aaron A. Velasco, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Efficiently Propagate P-Box Uncertainty World Scientific (2025), Olga M. Kosheleva, Vladik Y. Kreinovich.
Uncertainty Quantification for Results of AI-Based Data Processing: Towards More Feasible Algorithms World Scientific (2025), Christoph Q. Lauter, Martine C. Ceberio, Vladik Y. Kreinovich, Olga M. Kosheleva.
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.
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 (2024), 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.
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.
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 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 AI More Reliable Proceedings of the 10th International Workshop on Reliable Engineering Computing REC'2024, Beijing, China, October 26-27, 2024 (2024), 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 (2024), Olga M. Kosheleva, 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.
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.
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.
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.
Propagating measurement uncertainty via data processing algorithms: how to take higher moments into account Abstracts of the Seminar "Uncertainty of Measurements 2024 NMI-2024, Kharkiv, Ukraine, December 4-5, 2024 (in press), Olga M. Kosheleva, Vladik Y. Kreinovich.
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.
Approximate Stochastic Dominance Revisited Springer (2024), Chon V. Le, Olga M. Kosheleva, 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.
From Type-2 Fuzzy to Type-2 Intervals and Type-2 Probabilities Uncertainty and Imprecision in Decision Making and Decision Support -- New Advances, Challenges, and Perspectives. Selected Papers from the IWIFSGN-2023 -- Twenty First International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, Warsaw, Poland, October 20-23, 2023 (2024), Vladik Y. Kreinovich, Olga M. Kosheleva, Luc Longpré.
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.
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.
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.
Can Physics Attain Its Goals: Extending D'Agostino's Analysis to 21st Century and Beyond Springer (2024), Olga M. Kosheleva, Vladik Y. Kreinovich.
Fair Bankruptcy Solutions Under Interval Uncertainty Springer (2024), Uyen Pham, Olga M. Kosheleva, Vladik Y. Kreinovich.
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.
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.
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.
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 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.
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 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 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.
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.
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 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.
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.
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.
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.
Whose time are we on? Using a Sociocultural framework to eliminate end of term assessments for robust, equitable mathematical learning Abstracts of the 2023 Annual Conference of TODOS: Mathematics for All, Albuquerque, New Mexico, June 21-23, 2023 (2023), Julian Viera, Olga M. Kosheleva.
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 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.
Women in mathematics Abstracts of the 2023 Conference of New Mexico Mathematical Association of Two-Year Colleges NMMATYC and the Southwestern Section of Mathematical Association of America MAA NMMATYC/MAA'2023, El Paso, Texas, April 14-15, 2023 (2023), Olga M. Kosheleva.
`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.
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.
Computational Paradox of Deep Learning: A Qualitative Explanation Springer (2023), Jonatan Contreras, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
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.
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.
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.
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.
Historical diversity through base-10 representation of Mayan math Springer (2023), Julian Viera, Olga M. Kosheleva.
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 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 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 Make Quantum Ideas Less Counter-Intuitive: A Simple Analysis of Measurement Uncertainty Can Help Springer (in press), Olga M. Kosheleva, 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.
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.
Really Good Theorems Are Those That End Their Life as Definitions: Why Springer (2023), Olga M. Kosheleva, 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.
Towards Better Ways to Compute the Overall Grade for a Class Springer (2023), Christian Servin, Olga M. Kosheleva, 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 the Most Adequate Fuzzy Methodology? Springer (2023), Noah Velasco, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Aspirational Goals: Geometric Explanation Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
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 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 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 in MOND -- Alternative Gravitation Theory -- a Specific Formula Works the Best: Complexity-Based Explanation Springer (2023), Olga M. Kosheleva, 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 Self-Esteem Helps to Solve Problems: An Algorithmic Explanation Springer (2023), Oscar Ortiz, Henry Salgado, Olga M. Kosheleva, 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 Would Anyone Invest in a High-Risk Low-Profit Enterprise? Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
Additional Spatial Dimensions Can Help Speed Up Computations Springer (2023), Luc Longpré, Olga M. Kosheleva, 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.
Blessings, God, Sacrifices: Possible Rational Explanation of Biblical Ideas Springer (2023), Olga M. Kosheleva, Vladik Y. Kreinovich.
Dimension Compactification Naturally Follows from First Principles Springer (2023), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
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 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.
Lev Landau's Marital Advice Explained Springer (2023), Olga M. Kosheleva, 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.
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 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 oo Is a Reasonable Symbol for Infinity Springer (2023), Olga M. Kosheleva, 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 Neurons: Two Convexity-Related Explanations Springer (2023), Jonathan Contreras, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
Why Semi-Supervised Learning Makes Sense: A Pedagogical Note Springer (2023), Olga M. Kosheleva, 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.
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 Natural Causality-Motivated Description of Learning Mathematical Structures and Modeling 61 (2022), Olga M. Kosheleva, 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.
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.
From Russia with Love The Texas Jewish Historical Society Magazine February (2022), Olga M. Kosheleva, 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 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.
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.
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.
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.
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.
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.
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 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 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.
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.
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 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.
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 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 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.
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.
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 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 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.
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.
Reward for Good Performance Works Better Than Punishment for Mistakes: Economic Explanation Springer (2022), Olga M. Kosheleva, Julio Urenda, 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 Most Empirical Distributions Are Few-Modal Springer (2022), Julio Urenda, Olga M. Kosheleva, 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 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 "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.
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.
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.
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.
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.
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 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 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.
Impact of super heavy load vehicles on transportation infrastructure: economic aspects SOFT COMPUTING 25 12 (2021), Ngoc Thach, Nguyen, Ali Morovatdar, Reza Salehi-Ashtiani, Olga M. Kosheleva.
Impact of super heavy load vehicles on transportation infrastructure: economic aspects Soft Computing 25 (2021), Nguyen Ngoc Thach, Ali Morovatdar, Reza S. Ashtiani, Olga M. Kosheleva.
Impact of super heavy load vehicles on transportation infrastructure: economic aspects SOFT COMPUTING 25 12 (2021), Ngoc Thach, Nguyen, Ali Morovatdar, Reza Salehi-Ashtiani, Olga M. Kosheleva.
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.
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.
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 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 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 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 Question-Based Reasoning Leads to Constructive Approach to Knowledge International Mathematical Forum 16 1 (2021), Olga M. Kosheleva, 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 "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 "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.
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.
Decision Making Under Interval Uncertainty Revisited Asian Journal of Economics and Banking 5 1 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich, Uyen Pham.
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 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 Separate Absolute and Relative Error Components: Interval Case World Scientific (2021), Christian Servin, Olga M. Kosheleva, 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.
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.
Realistic Intervals of Degrees of Confidence Reliable Computing 28 (2021), Olga M. Kosheleva, Vladik Y. Kreinovich.
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.
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.
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 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 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.
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.
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.
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 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.
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.
Ranking-Based Voting Revisited: Maximum Entropy Approach Leads to Borda Count (and Its Version) Springer (2021), Olga M. Kosheleva, Vladik Y. Kreinovich, Guo Wei.
Why Beta Priors: Invariance-Based Explanation Springer (2021), Olga M. Kosheleva, Vladik Y. Kreinovich, Kittawit Autchariyapanitkul.
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 Some Non-Classical Logics Are More Studied? Springer (2021), Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
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.
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.
A Fully Lexicographic Extension of Min or Max Operation Cannot Be Associative Applied Mathematical Sciences 14 11 (2020), Olga M. Kosheleva, 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.
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.
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.
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 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.
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.
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.
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.
Rosenzweig, Equality, and Assignment International Mathematical Forum 15 7 (in press), Olga M. Kosheleva, 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.
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.
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.
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.
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 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 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.
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 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.
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.
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 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.
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.
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.
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 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.
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.
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.
Why Sparse? Springer Verlag (2020), Thongchai Dumrongpokaphan, Olga M. Kosheleva, Vladik Y. Kreinovich, Aleksandra Belina.
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.

Presentations

Stochastic Dominance: Cases of Interval and P-Box Uncertainty (2025), Volume Hi Chi Minh City, Vietnam, Kittawit Autchariyapanikul, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Decisions Based on the Results of Worst-Case, Most Realistic, and Best-Case Scenarios Work Well? (2025), Volume Ho Chi Minh City, Vietnam, Miroslav Svitek, Olga M. Kosheleva, Vladik Y. Kreinovich, Chon V. Le.
Why Quantiles Are a Good Description of Volatility in Economics: An Alternative Explanation (2025), Volume Hi Chi Minh City, Vietnam, Laxman Bokati, Olga M. Kosheleva, Kittawit Autchariyapanitkul, Vladik Y. Kreinovich.
Shapley Value under Interval Uncertainty and Partial Information (2025), Volume Chiang Mai, Thailand, Kittawit Autchariyapanikul , Olga M. Kosheleva, Vladik Y. Kreinovich.
Towards an Optimal Design: What Can We Recommend to Elon Musk? (2025), Volume Chiang Mai, Thailand, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Min, Max, Opening, and Closing Stock Prices Are Empirically Most Appropriate for Predictions, and Why Their Linear Combination Provides the Best Estimate for Beta (2025), Volume Chiang Mai, Thailand, Somsak Chanaim, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Kolmogorov-Arnold Networks (KAN) Work So Well: A Qualitative Explanation (2025), Volume Hanoi. Vietnam, Hung T. Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Propagate Uncertainty via AI Algorithms (2024), Volume Beijing, China, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Propagate Uncertainty via AI Algorithms (2024), Volume Warsaw, Poland, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Bump Reward Function Works Well In Training Insulin Delivery Systems (2024), Volume Hanoi, Vietnam, Lehel Denes-Fazakas, Laszlo Szilagyi, Gyorgy Eigner, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
How to Deal with Inconsistent Intervals: Utility-Based Approach Can Overcome the Limitations of the Purely Probability-Based Approach (2024), Volume Ho Chi Minh City, Vietnam, Kittawit Autchariyapanitkul, Tomoe Entani, Olga M. Kosheleva, Vladik Y. Kreinovich.
Approximate Stochastic Dominance Revisited (2024), Volume Chiang Mai, Thailand , Chon V. Le, Olga M. Kosheleva, Vladik Y. Kreinovich.
From Type-2 Fuzzy to Type-2 Intervals and Type-2 Probabilities (2023), Volume Warsaw, Poland, Olga M. Kosheleva, Luc Longpré, Vladik Y. Kreinovich.
Uncertainty Quantification for Results of AI-Based Data Processing: Towards Feasible Algorithms (2023), Volume Sarajevo, Bosnia and Herzegovina, Christoph Q. Lauter, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Computational Paradox of Deep Learning: A Qualitative Explanation (2023), Volume Hanoi, Vietnam, Jonathan Contreras, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
Fair Bankruptcy Solutions Under Interval Uncertainty (2023), Volume Ho Chi Minh City, Vietnam, Uyen Pham, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Shapley Value and Its Variants Are Useful in Machine Learning and Other Applications (2023), Volume Chiang Mai, Thailand, Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich, Thach N. Nguyen.
moderator of Kreinovich/Kosheleva talk in math-and-religion speaker series (2021), Olga M. Kosheleva, Vladik Y. Kreinovich, Lawrence M. Lesser.
The University of Texas at El Paso, College of Education: Driving Change through Partnerships (2021), Volume Kazan Federal University, Holly K. Fields, Beverley Calvo, Clifton Tanabe, Olga Kosheleva, Kristopher Yeager, Paul Carrola.

Grants

No info available.

Current/Future Courses

Term	Course	Section
Spring 2025	STEM 5390 - Capstone in STEM Education	25998
Spring 2025	TED 6398 - Dissertation	26544
Spring 2025	TED 6398 - Dissertation	26545
Spring 2025	TED 6398 - Dissertation	26553
Spring 2025	TED 6398 - Dissertation	26554
Spring 2025	TED 5119 - Graduate Workshop in Education	22482
Spring 2025	TED 5119 - Graduate Workshop in Education	22590
Spring 2025	TED 5319 - Graduate Workshop In Education	27586
Spring 2025	TED 6395 - Independent Grad Studies	26519
Spring 2025	TED 6395 - Independent Grad Studies	26580
Spring 2025	TED 5396 - Independent Graduate Studies	26061
Spring 2025	TED 5396 - Independent Graduate Studies	26518

Past Courses

Select Term:

Term	Course	Section	Syllabus
Fall 2024	TED 6320 - Quantitative Research I	11202	Syllabus
Summer 2024	TED 5396 - Independent Graduate Studies	33947
Spring 2024	STEM 5390 - Capstone in STEM Education	27538	Syllabus
Spring 2024	TED 4350 - Educational Workshop	28128	Syllabus
Spring 2024	TED 5119 - Graduate Workshop in Education	22905
Spring 2024	MTED 5322 - Ped Cntent Knowl in Teach Math	27339	Syllabus
Fall 2023	TED 4350 - Educational Workshop	14031	Syllabus
Spring 2023	TED 6399 - Dissertation	28039
Spring 2023	TED 4350 - Educational Workshop	27268	Syllabus
Spring 2023	TED 6305 - Practicum	28042
Fall 2022	TED 6399 - Dissertation	13216
Fall 2022	TED 6305 - Practicum	17970
Fall 2022	TED 6320 - Quantitative Research I	12563	Syllabus
Summer 2022	TED 6399 - Dissertation	35298
Summer 2022	TED 6319 - Grad Workshop in Education	35876	Syllabus
Summer 2022	MTED 5322 - Ped Cntent Knowl in Teach Math	35875	Syllabus
Spring 2022	ECED 5354 - Early STEM/STEAM Dev & Curr	29142	Syllabus
Fall 2021	TED 6320 - Quantitative Research I	12566	Syllabus
Summer 2021	ECED 5354 - Early STEM/STEAM Dev & Curr	35934
Summer 2021	TED 5396 - Independent Graduate Studies	36460
Spring 2021	MTED 5322 - Ped Cntent Knowl in Teach Math	28103	Syllabus
Spring 2021	TED 6305 - Practicum	27688
Spring 2021	TED 5398 - Thesis	29445
Fall 2020	TED 5119 - Graduate Workshop in Education	12826
Fall 2020	TED 5396 - Independent Graduate Studies	18155
Fall 2020	TED 6320 - Quantitative Research I	12749	Syllabus
Summer 2020	TED 5119 - Graduate Workshop in Education	33457
Spring 2020	TED 5119 - Graduate Workshop in Education	25647
Spring 2020	TED 5319 - Graduate Workshop In Education	28650	Syllabus
Spring 2020	MTED 6310 - Research Trends in Ma/Sc Edu	28741	Syllabus
Fall 2019	ECED 5354 - Early STEM Dev & Curri-Birth-8	18601	Syllabus
Summer 2019	TED 5119 - Graduate Workshop in Education	33762
Spring 2019	TED 5119 - Graduate Workshop in Education	25762
Spring 2019	TED 5119 - Graduate Workshop in Education	25763
Spring 2019	MTED 3330 - Integ & Alter Rep of Math Prin	21353	Syllabus
Spring 2019	ELED 4310 - Teaching Math in Elem Schools	27867	Syllabus
Fall 2018	TED 5119 - Graduate Workshop in Education	12915
Fall 2018	TED 5119 - Graduate Workshop in Education	13256
Fall 2018	TED 5119 - Graduate Workshop in Education	16143
Fall 2018	TED 5119 - Graduate Workshop in Education	19676
Fall 2018	TED 5319 - Graduate Workshop In Education	18775	Syllabus
Fall 2018	MTED 5322 - Ped Cntent Knowl in Teach Math	18478	Syllabus
Fall 2018	ELED 4310 - Teaching Math in Elem Schools	18808	Syllabus
Summer 2018	TED 5119 - Graduate Workshop in Education	34189
Spring 2018	ECED 5354 - Early STEM Dev & Curri-Birth-8	28145	Syllabus

Course Evaluations

Term	Course	Section	Evaluation
Fall 2024	TED 6320 - Quantitative Research I	11202	Evaluation
Spring 2024	TED 4350 - Educational Workshop	28128	Evaluation
Spring 2024	MTED 5322 - Ped Cntent Knowl in Teach Math	27339	Evaluation
Fall 2023	TED 4350 - Educational Workshop	14031	Evaluation
Spring 2023	TED 4350 - Educational Workshop	27268	Evaluation
Fall 2022	TED 6320 - Quantitative Research I	12563	Evaluation
Summer 2022	TED 6319 - Grad Workshop in Education	35876	Evaluation
Summer 2022	MTED 5322 - Ped Cntent Knowl in Teach Math	35875	Evaluation
Spring 2022	ECED 5354 - Early STEM/STEAM Dev & Curr	29142	Evaluation
Fall 2021	TED 6320 - Quantitative Research I	12566	Evaluation
Summer 2021	ECED 5354 - Early STEM/STEAM Dev & Curr	35934	Evaluation
Spring 2021	MTED 5322 - Ped Cntent Knowl in Teach Math	28103	Evaluation
Fall 2020	TED 6320 - Quantitative Research I	12749	Evaluation
Spring 2020	TED 5319 - Graduate Workshop In Education	28650	Evaluation
Spring 2020	MTED 6310 - Research Trends in Ma/Sc Edu	28741	Evaluation

Bio

Awards and Honors

Dr. Olga Kosheleva - 2010 International Conference of the North American Fuzzy Information Processing Society NAFIPS'2010, Toronto, Canada, July 12-15, 2010 (07/15/2010)
Dr. Olga Kosheleva - College of Education, University of Texas at El Paso (05/15/2010)
Dr. Olga Kosheleva - College of Education, University of Texas at El Paso (05/14/2010)

Ph D in Computer Engineering, University of Texas at El Paso (2003)
MS in Computer Science, University of Texas at El Paso (1994)
Radioastronomy, Special Astrophysical Observatory of the Russian Academy of Science (1982)
MS in Mathematics and Applied Mathematics, Novosibirsk State University (1978)

Publications

A Natural Extension of F-Transform to Triangular and Triangulated Domains Necessitates the Use of Triangular Membership Functions Proceedings of the 13th Conference of the European Society for Fuzzy Logic and Technology EUSFLAT 2025, Riga, Latvia, July 21-25, 2025 (in press), Hana Zamecnikova, Irina Perfilieva, Olga M. Kosheleva, Vladik Y. Kreinovich.
All We (and LLMs) Need Is Fuzzy: An Argument Proceedings of the IEEE International Conference on Fuzzy Systems FUZZ-IEEE 2025, Reims, France, July 6-9, 2025 (in press), Olga M. Kosheleva, Vladik Y. Kreinovich.
How to compare situations in which we measure different quantities with different interval uncertainty Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 12, 2025 (2025), Jahangir Alam, Ismail Hossain, Tausif Hossain, Md Nuruzzaman Sojib, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Deal with High-Impact Low-Probability Events: Theoretical Explanation of the Empirically Successful Fuzzy-Like Technique Proceedings of the 13th Conference of the European Society for Fuzzy Logic and Technology EUSFLAT 2025, Riga, Latvia, July 21-25, 2025 (in press), Juan Ulloa, Aaron A. Velasco, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Share a Success, How to Share a Crisis, and How All This Is Related to Fuzzy Proceedings of the 13th Conference of the European Society for Fuzzy Logic and Technology EUSFLAT 2025, Riga, Latvia, July 21-25, 2025 (in press), Olga M. Kosheleva, Vladik Y. Kreinovich.

Presentations

Stochastic Dominance: Cases of Interval and P-Box Uncertainty (2025), Volume Hi Chi Minh City, Vietnam, Kittawit Autchariyapanikul, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Decisions Based on the Results of Worst-Case, Most Realistic, and Best-Case Scenarios Work Well? (2025), Volume Ho Chi Minh City, Vietnam, Miroslav Svitek, Olga M. Kosheleva, Vladik Y. Kreinovich, Chon V. Le.
Why Quantiles Are a Good Description of Volatility in Economics: An Alternative Explanation (2025), Volume Hi Chi Minh City, Vietnam, Laxman Bokati, Olga M. Kosheleva, Kittawit Autchariyapanitkul, Vladik Y. Kreinovich.
Shapley Value under Interval Uncertainty and Partial Information (2025), Volume Chiang Mai, Thailand, Kittawit Autchariyapanikul , Olga M. Kosheleva, Vladik Y. Kreinovich.
Towards an Optimal Design: What Can We Recommend to Elon Musk? (2025), Volume Chiang Mai, Thailand, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.

No info available.

Current/Future Courses

Term

Spring 2025

Course

STEM 5390 - Capstone in STEM Education

Section

25998

Syllabus

Term

Spring 2025

Course

TED 6398 - Dissertation

Section

26544

Syllabus

Term

Spring 2025

Course

TED 6398 - Dissertation

Section

26545

Syllabus

Term

Spring 2025

Course

TED 6398 - Dissertation

Section

26553

Syllabus

Term

Spring 2025

Course

TED 6398 - Dissertation

Section

26554

Syllabus

Term

Spring 2025

Course

TED 5119 - Graduate Workshop in Education

Section

22482

Syllabus

Term

Spring 2025

Course

TED 5119 - Graduate Workshop in Education

Section

22590

Syllabus

Term

Spring 2025

Course

TED 5319 - Graduate Workshop In Education

Section

27586

Syllabus

Term

Spring 2025

Course

TED 6395 - Independent Grad Studies

Section

26519

Syllabus

Term

Spring 2025

Course

TED 6395 - Independent Grad Studies

Section

26580

Syllabus

Term

Spring 2025

Course

TED 5396 - Independent Graduate Studies

Section

26061

Syllabus

Term

Spring 2025

Course

TED 5396 - Independent Graduate Studies

Section

26518

Syllabus

Past Courses

Select Term:

Term

Fall 2024

Course

TED 6320 - Quantitative Research I

Section

11202

Syllabus

Term

Summer 2024

Course

TED 5396 - Independent Graduate Studies

Section

33947

Syllabus

Term

Spring 2024

Course

STEM 5390 - Capstone in STEM Education

Section

27538

Syllabus

Term

Spring 2024

Course

TED 4350 - Educational Workshop

Section

28128

Syllabus

Term

Spring 2024

Course

TED 5119 - Graduate Workshop in Education

Section

22905

Syllabus

Term

Spring 2024

Course

MTED 5322 - Ped Cntent Knowl in Teach Math

Section

27339

Syllabus

Term

Fall 2023

Course

TED 4350 - Educational Workshop

Section

14031

Syllabus

Term

Spring 2023

Course

TED 6399 - Dissertation

Section

28039

Syllabus

Term

Spring 2023

Course

TED 4350 - Educational Workshop

Section

27268

Syllabus

Term

Spring 2023

Course

TED 6305 - Practicum

Section

28042

Syllabus

Term

Fall 2022

Course

TED 6399 - Dissertation

Section

13216

Syllabus

Term

Fall 2022

Course

TED 6305 - Practicum

Section

17970

Syllabus

Term

Fall 2022

Course

TED 6320 - Quantitative Research I

Section

12563

Syllabus

Term

Summer 2022

Course

TED 6399 - Dissertation

Section

35298

Syllabus

Term

Summer 2022

Course

TED 6319 - Grad Workshop in Education

Section

35876

Syllabus

Term

Summer 2022

Course

MTED 5322 - Ped Cntent Knowl in Teach Math

Section

35875

Syllabus

Term

Spring 2022

Course

ECED 5354 - Early STEM/STEAM Dev & Curr

Section

29142

Syllabus

Term

Fall 2021

Course

TED 6320 - Quantitative Research I

Section

12566

Syllabus

Term

Summer 2021

Course

ECED 5354 - Early STEM/STEAM Dev & Curr

Section

35934

Syllabus

Term

Summer 2021

Course

TED 5396 - Independent Graduate Studies

Section

36460

Syllabus

Term

Spring 2021

Course

MTED 5322 - Ped Cntent Knowl in Teach Math

Section

28103

Syllabus

Term

Spring 2021

Course

TED 6305 - Practicum

Section

27688

Syllabus

Term

Spring 2021

Course

TED 5398 - Thesis

Section

29445

Syllabus

Term

Fall 2020

Course

TED 5119 - Graduate Workshop in Education

Section

12826

Syllabus

Term

Fall 2020

Course

TED 5396 - Independent Graduate Studies

Section

18155

Syllabus

Term

Fall 2020

Course

TED 6320 - Quantitative Research I

Section

12749

Syllabus

Term

Summer 2020

Course

TED 5119 - Graduate Workshop in Education

Section

33457

Syllabus

Term

Spring 2020

Course

TED 5119 - Graduate Workshop in Education

Section

25647

Syllabus

Term

Spring 2020

Course

TED 5319 - Graduate Workshop In Education

Section

28650

Syllabus

Term

Spring 2020

Course

MTED 6310 - Research Trends in Ma/Sc Edu

Section

28741

Syllabus

Term

Fall 2019

Course

ECED 5354 - Early STEM Dev & Curri-Birth-8

Section

18601

Syllabus

Term

Summer 2019

Course

TED 5119 - Graduate Workshop in Education

Section

33762

Syllabus

Term

Spring 2019

Course

TED 5119 - Graduate Workshop in Education

Section

25762

Syllabus

Term

Spring 2019

Course

TED 5119 - Graduate Workshop in Education

Section

25763

Syllabus

Term

Spring 2019

Course

MTED 3330 - Integ & Alter Rep of Math Prin

Section

21353

Syllabus

Term

Spring 2019

Course

ELED 4310 - Teaching Math in Elem Schools

Section

27867

Syllabus

Term

Fall 2018

Course

TED 5119 - Graduate Workshop in Education

Section

12915

Syllabus

Term

Fall 2018

Course

TED 5119 - Graduate Workshop in Education

Section

13256

Syllabus

Term

Fall 2018

Course

TED 5119 - Graduate Workshop in Education

Section

16143

Syllabus

Term

Fall 2018

Course

TED 5119 - Graduate Workshop in Education

Section

19676

Syllabus

Term

Fall 2018

Course

TED 5319 - Graduate Workshop In Education

Section

18775

Syllabus

Term

Fall 2018

Course

MTED 5322 - Ped Cntent Knowl in Teach Math

Section

18478

Syllabus

Term

Fall 2018

Course

ELED 4310 - Teaching Math in Elem Schools

Section

18808

Syllabus

Term

Summer 2018

Course

TED 5119 - Graduate Workshop in Education

Section

34189

Syllabus

Term

Spring 2018

Course

ECED 5354 - Early STEM Dev & Curri-Birth-8

Section

28145

Syllabus

Term

Fall 2024

Course

TED 6320 - Quantitative Research I

Section

11202

Evaluation

Term

Spring 2024

Course

TED 4350 - Educational Workshop

Section

28128

Evaluation

Term

Spring 2024

Course

MTED 5322 - Ped Cntent Knowl in Teach Math

Section

27339

Evaluation

Term

Fall 2023

Course

TED 4350 - Educational Workshop

Section

14031

Evaluation

Term

Spring 2023

Course

TED 4350 - Educational Workshop

Section

27268

Evaluation

Term

Fall 2022

Course

TED 6320 - Quantitative Research I

Section

12563

Evaluation

Term

Summer 2022

Course

TED 6319 - Grad Workshop in Education

Section

35876

Evaluation

Term

Summer 2022

Course

MTED 5322 - Ped Cntent Knowl in Teach Math

Section

35875

Evaluation

Term

Spring 2022

Course

ECED 5354 - Early STEM/STEAM Dev & Curr

Section

29142

Evaluation

Term

Fall 2021

Course

TED 6320 - Quantitative Research I

Section

12566

Evaluation

Term

Summer 2021

Course

ECED 5354 - Early STEM/STEAM Dev & Curr

Section

35934

Evaluation

Term

Spring 2021

Course

MTED 5322 - Ped Cntent Knowl in Teach Math

Section

28103

Evaluation

Term

Fall 2020

Course

TED 6320 - Quantitative Research I

Section

12749

Evaluation

Term

Spring 2020

Course

TED 5319 - Graduate Workshop In Education

Section

28650

Evaluation

Term

Spring 2020

Course

MTED 6310 - Research Trends in Ma/Sc Edu

Section

28741

Evaluation

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Olga M. Kosheleva

FACULTY PROFILES

Olga M. Kosheleva

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