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• 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)

• 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 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.
• 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.
• 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.
• 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.
• Why Most Empirical Distributions Are Few-Modal Springer (2022), Julio Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• *Jonatan Contreras, Martine CebeWhy Gradient Descent -- Not the Best Optimization Technique -- Works Best in Neural Networks: Qualitative Explanation Journal of Combinatorics, Information, and System Sciences JCISS 45 (in press), Jonatan Contreras, Martine C. Ceberio, 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.
• 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 (in press), 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.
• 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.
• 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 (in press), 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.
• 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.
• 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.
• 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 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 (in press), 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.
• 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 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.
• 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.
• 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 (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.
• 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.
• 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.
• 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 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.
• 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 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.
• 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.
• "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.
• 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.
• 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 (2020), Leobardo Valera, Martine C. Ceberio, 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 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 (2020), Julio C. Urenda, Olga M. Kosheleva, Martine C. Ceberio, 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.
• 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 (2020), Martine C. Ceberio, 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.
• 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 (2020), 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 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 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.
• Joule's 19th Century Energy Conservation Meta-Law and the 20th Century Physics (Quantum Mechanics and Relativity): 21st Century Analysis Foundations of Science (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.
• 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.
• 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.
• 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.
• 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.
• Anatole France's Statement on Education Transformed into a Theorem Russian Digital Libraries Journal 22 6 (2019), Mourat A. Tchoshanov, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Anatole France's Statement on Education Transformed into a Theorem Abstracts of the IX International Conference on Mathematics Education MATHEDU'2019, Kazan, Russia, October 23-27, 2019 (2019), Mourat A. Tchoshanov, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Avoiding Einstein-Podolsky-Rosen (EPR) Paradox: Towards a More Physically Adequate Description of a Quantum State Journal of Uncertain Systems 13 3 (2019), Joseph Bernal, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Computational Complexity of Experiment Design in Civil Engineering Proceedings of the 29th European Safety and Reliability Conference ESREL'2019, Hannover, Germany, September 22-26, 2019 (2019), Olga M. Kosheleva, Yan Wang, Vladik Y. Kreinovich.
• Contrast Similarity Measures of Fuzzy Sets Computacion y Sistemas 23 4 (2019), Ildar Batyrshin, Vladik Y. Kreinovich, Olga M. Kosheleva, Nailya Kubysheva, Raouf Akhtiamov.
• Egyptian Fractions Re-Revisited Russian Digital Libraries Journal 22 6 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich, Francisco Zapata.
• Epicycles Are Almost as Good as Trigonometric Series: General System-Based Analysis Applied Mathematical Sciences 13 16 (2019), Griselda Acosta, Eric D. Smith, Olga M. Kosheleva, Vladik Y. Kreinovich.
• High concentrations naturally lead to fuzzy-type interactions and to gravitational wave bursts Proceedings of the IEEE International Conference on Fuzzy Systems FUZZ-IEEE'2019, New Orleans, Louisiana, June 23-26, 2019 (2019), Oscar Galindo, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How Earthquake Risk Depends on the Closeness to a Fault: Symmetry-Based Geometric Analysis Proceedings of the 29th European Safety and Reliability Conference ESREL'2019, Hannover, Germany, September 22-26, 2019 (2019), Aaron A. Velasco, Solymar Ayala, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How Earthquake Risk Depends on the Closeness to a Fault: Symmetry-Based Geometric Analysis (2019), Aaron A. Velasco, Solymar A. Cortez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Apply Software Engineering Testing Methodologies to Education Journal of Uncertain Systems 13 3 (2019), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Assign Grades to Tasks so as to Maximize Student Efforts Russian Digital Libraries Journal 22 6 (2019), Laxman Bokati, Vyacheslav Kalashnikov, Nataliya Kalashnykova, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Assign Points for Chores Russian Digital Libraries Journal 22 6 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Fuse Expert Knowledge: Not Always 'And' but a Fuzzy Combination of 'And' and 'Or" Proceedings of the World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2019, Lafayette, Louisiana, June 18-22, 2019 (2019), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Generate "Nice" Cubic Polynomials -- with Rational Coefficients, Rational Zeros and Rational Extrema: A Fast Algorithm Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 6, 2019 (2019), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to generate 'nice' cubic polynomials -- with rational coefficients, rational zeros and rational extrema: a fast algorithm Journal of Uncertain Systems 13 2 (2019), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Generate 'Nice' Cubic Polynomials -- with Rational Coefficients, Rational Zeros and Rational Extrema: A Fast Algorithm Abstracts of the 11th International Conference of Nepalese Student Association NeSA'11, Las Cruces, New Mexico, March 23, 2019 (2019), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Organize Conferences: Systems Approach Journal of Uncertain Systems 13 3 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• How We Can Explain Simple Empirical Memory Rules Mathematical Structures and Modeling 51 (2019), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How We Can Explain Simple Empirical Memory Rules Abstracts of the IX International Conference on Mathematics Education MATHEDU'2019, Kazan, Russia, October 23-27, 2019 (2019), Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Logarithms Are Not Infinity: A Rational Physics-Related Explanation of the Mysterious Statement by Lev Landau Proceedings of the World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2019, Lafayette, Louisiana, June 18-22, 2019 (2019), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Multi-Lingual Education Helps to Study Mathematics Abstracts of the IX International Conference on Mathematics Education MATHEDU'2019, Kazan, Russia, October 23-27, 2019 (2019), Valery Phedotov, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Neutron Lifetime Puzzle and Nuclear Stability: A Possible Relation Journal of Uncertain Systems 13 3 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Physics' Need for Interval Uncertainty and How It Explains Why Physical Space Is (at Least) 3-Dimensional Abstracts of the Joint 11th Conference of the European Society for Fuzzy Logic and Technology EUSFLAT'2019 and International Quantum Systems Association (IQSA) Workshop on Quantum Structures, Prague, Czech Republic, September 9-13, 2019 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Physics' Need for Interval Uncertainty and How It Explains Why Physical Space Is (at Least) 3-Dimensional Proceedings of the Joint 11th Conference of the European Society for Fuzzy Logic and Technology EUSFLAT'2019 and International Quantum Systems Association (IQSA) Workshop on Quantum Structures, Prague, Czech Republic, September 9-13, 2019 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Quantum physics explains the existence of matter Abstracts of the 7th International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 22, 2019 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Softmax and McFadden's Discrete Choice under Interval (and Other) Uncertainty Proceedings of the International Conference on Parallel Processing and Applied Mathematics PPAM'2019, Bialystok, Poland, September 8-11, 2019 2 (2019), Batlomiej Kubica, Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Softmax and McFadden's Discrete Choice under Interval (and Other) Uncertainty Abstracts of the International Conference on Parallel Processing and Applied Mathematics PPAM'2019, Bialystok, Poland, September 8-11, 2019 (2019), Bartlomijei Kubica, Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Systems Approach to Education: General Ideas Journal of Uncertain Systems 13 3 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Use of symmetries in economics: an overview Asian Journal of Economics and Banking 3 1 (2019), Vladik Y. Kreinovich, Olga M. Kosheleva, Thach N. Nguyen, Trung D. Nguyen.
• Was There a Pre-Biblical 9-Ary Number System? Mathematical Structures and Modeling 50 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• When Revolutions Succeed? 80/20 Rule and 7 Plus Minus 2 Law Explain the 3.5% Rule Journal of Uncertain Systems 13 3 (2019), Laxman Bokati, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Use a Fuzzy Partition in F-Transform? Axioms 2019 8 (2019), Vladik Y. Kreinovich, Olga M. Kosheleva, Songsak Sriboonchitta.
• Why A is usually 90, B is 80, etc.: a possible explanation Journal of Uncertain Systems 13 3 (2019), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Bilingualism Helps Autistic Children Function: A Symmetry-Based Explanation International Mathematical Forum 14 1 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Derivative: Invariance-Based Explanation Mathematical Structures and Modeling 52 (2019), Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Grade Distribution Is Often Multi-Modal: an Uncertainty-Based Explanation Proceedings of the World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2019, Lafayette, Louisiana, June 18-22, 2019 (2019), Olga M. Kosheleva, Christian Servin, Vladik Y. Kreinovich.
• Why semantic space is 300-dimensional: a possible explanation Abstracts of the 7th International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 22, 2019 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Such a Nonlinear Process as Protein Synthesis Is Well Approximated by Linear Formulas Abstracts of the 2019 Southwest and Rocky Mountain Regional Meeting of the American Chemical Society SWRMRM'2019, El Paso, Texas, November 13-16, 2019 (in press), Vladik Y. Kreinovich, Olga M. Kosheleva, Julio Urenda.
• Why Triangular Membership Functions Are Successfully Used in F-Transform Applications: A Global Explanation to Supplement the Existing Local One Axioms 2019 8 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich, Thach N. Nguyen.
• Why We Mostly Use 2-, 3- And 5-Based Number Systems? Abstracts of the UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Science, El Paso, Texas, November 2, 2019 (2019), Erick Nevarez, Jordan Caylor, Jenna Faith, Irma Martinez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Algorithmic Need for Subcopulas Springer (2019), Thach N. Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
• Between Dog and Wolf: A Continuous Transition from Fuzzy to Probabilistic Estimates Proceedings of the IEEE International Conference on Fuzzy Systems FUZZ-IEEE'2019, New Orleans, Louisiana, June 23-26, 2019 (2019), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich, Luc Longpré.
• Blockchains Beyond Bitcoin: Towards Optimal Level of Decentralization in Storing Financial Data Springer (2019), Thach N. Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
• Can We Improve the Standard Algorithm of Interval Computation by Taking Almost Monotonicity into Account?2 Proceedings of the World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2019, Lafayette, Louisiana, June 18-22, 2019 (2019), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Detecting At-Risk Students: Empirical Results and Their Theoretical Explanation Mathematical Structures and Modeling 49 (2019), Edgar Rodriguez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• From Gig Economy to Gig Education Mathematical Structures and Modeling 50 (2019), Olga M. Kosheleva, Julian Viera, Vladik Y. Kreinovich.
• How to explain the efficiency of triangular and trapezoid membership functions in applications to design Ontology of Designing 9 2 (2019), Afshin Gholamy, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Take Expert Uncertainty into Account: Economic Approach Illustrated by Pavement Engineering Applications Springer (2019), Edgar Rodriguez Velazquez, Carlos M. Chang Albitres, Thach N. Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich.
• In its usual formulation, fuzzy computation is, in general, NP-hard, but a more realistic formulation can make it feasible Proceedings of the IEEE International Conference on Fuzzy Systems FUZZ-IEEE'2019, New Orleans, Louisiana, June 23-26, 2019 (2019), Martine C. Ceberio, Olga M. Kosheleva, Luc Longpré, Vladik Y. Kreinovich.
• Preferences (Partial Pre-Orders) on Complex Numbers -- in View of Possible Use in Quantum Econometrics Thai Journal of Mathematics Special issue Structural Change Modeling and Optimization 2018 (2019), Songsak Sriboonchitta, Vladik Y. Kreinovich, Olga M. Kosheleva.
• Probability-Based Approach Explains (and Even Improves) Heuristic Formulas of Defuzzification Proceedings of the 7th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM'2019, Nara, Japan, March 26-29, 2019 (2019), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Quantum Approach Explains the Need for Expert Knowledge: On the Example of Econometrics Springer (2019), Songsak Sriboonchitta, Hung T. Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich, Thach N. Nguyen.
• Secure Multi-Agent Quantum Communication: Towards the Most Efficient Scheme (A Pedagogical Remark) Mathematical Structures and Modeling 49 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Should School Feel Like a Family: Lessons from Business Controversy as Interpreted by Decision Making Theory Mathematical Structures and Modeling 50 (2019), Olga M. Kosheleva, Julian Viera, Vladik Y. Kreinovich.
• Summation of Divergent Infinite Series: How Natural are the Current Tricks Mathematical Structures and Modeling 50 (2019), Mourat A. Tchoshanov, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Towards Parallel Quantum Computing: Standard Quantum Teleportation Algorithm Is, in Some Reasonable Sense, Unique Proceedings of the 7th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM'2019, Nara, Japan, March 26-29, 2019 (2019), Oscar Galindo, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Translating Discrete Estimates into a Less Detailed Scale: An Optimal Approach Thai Journal of Mathematics Special issue Structural Change Modeling and Optimization in Econometrics 2018 (2019), Thongchai Dumrongpokaphan, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Use of parentheses to indicate multiplication can be confusing Mathematics Teacher 112 4 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Max Average Poolings are Optimal in Convolutional Neural Networks Proceedings of the 7th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM'2019, Nara, Japan, March 26-29, 2019 (2019), Ahnaf Farhan, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Quantum (Wave Probability) Models Are a Good Description of Many Non-Quantum Complex Systems, and How to Go Beyond Quantum Models Springer (2019), Miroslav Svitek, Olga M. Kosheleva, Vladik Y. Kreinovich, Thach N. Nguyen.
• Why STEM? Mathematical Structures and Modeling 50 (2019), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Math, Music and Arts, a community-based approach: Improving outcomes for at-risk Hispanic students Peter Lang Publishers (in press), Beverley Argus-Calvo, Claudia Saldana Corral, Olga M. Kosheleva.
• A review of "A Tale of Seven Scientists and a New Philosophy of Science" by E. Scerri Journal of Uncertain Systems 12 3 (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "Constructivism: Theory, Perspectives And Practice" by C. T. Fosnot (ed.) Journal of Uncertain Systems 12 3 (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "Drive: The Surprising Truth about What Motivates Us" by D. H. Pink Journal of Uncertain Systems 12 3 (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "Factorizations of algebraic integers, block monoids, and additive number theory" by P. Baginski and S. T. Chapman, "Irreducible factorization lengths and the elasticity problem within N", by M. O. Jenssen, D. Montealegre, and V. Ponomarenko, and "Non-unique factorization in a class of non-commutative monoids" by E. D. Schwab and G. Schwab Journal of Uncertain Systems 12(3) (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "Life's Greatest Lessons: 20 Things That Matter" by H. Urban Journal of Uncertain Systems 12 3 (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "Snowball in a Blizzard: A Physician's Notes on Uncertainty in Medicine" by S. Hatch Journal of Uncertain Systems 12 3 (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "The Melanoma Handbook" by S. P. Ariyan and H. Kluger (eds.) and "Melanoma" by J. S. Zager, V. K. Sondak, and R. Kudchadkar (eds.) Journal of Uncertain Systems 12(3) (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "The Strategy Paradox: Why Committing to Success Leads to Failure (and What to Do about It)" by M. E. Raynor Journal of Uncertain Systems 12 3 (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A Turing Machine Is Just a Finite Automaton with Two Stacks: A Comment on Teaching Theory of Computation Proceedings of the 8th International Scientific-Practical Conference "Mathematical Education in Schools and Universities: Innovations in the Information Space" MATHEDU'2018, Kazan, Russia, October 17-21, 2018 (2018), Vladik Y. Kreinovich, Olga M. Kosheleva.
• All Maximally Complex Problems Allow Simplifying Divide-and-Conquer Approach: Intuitive Explanation of a Somewhat Counterintuitive Ladner's Result Mathematical Structures and Modeling 48 (2018), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Avoiding Einstein-Podolsky-Rosen (EPR) Paradox: Towards a More Physically Adequate Description of a Quantum State Abstracts of the 23rd Joint UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Sciences, El Paso, Texas, November 3, 2018 (in press), Joseph Bernal, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Bellman-Zadeh Fuzzy Optimization Under Interval Uncertainty Abstracts of the 18th International Symposium on Scientific Computing, Computer Arithmetic, and Verified Numerical Computation SCAN'2018, Tokyo, Japan, September 10-15, 2018 (in press), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Comparing US and Russian Grading Scales Journal of Innovative Technology and Education 5 1 (2018), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Current Quantum Cryptography Algorithm Is Optimal: A Proof Proceedings of the IEEE Symposium on Computational Intelligence for Engineering Solutions CIES'2018, Bengaluru, India, November 18-21, 2018 (in press), Oscar Galindo, Vladik Y. Kreinovich, Olga M. Kosheleva.
• Economics of Commitment: Why Giving Away Some Freedom Makes Sense Mathematical Structures and Modeling 46 (2018), Vladik Y. Kreinovich, Olga M. Kosheleva, Mahdokht Afravi, Genesis Bejarano, Marisol Chacon.
• How Intelligence Community Interprets Imprecise Evaluative Linguistic Expressions, and How to Justify This Empirical-Based Interpretation Proceedings of the International Conference on Data Science and Intelligent Analysis of Information ICDSIAI'2018, Kiev, Ukraine, June 4-7, 2018 (in press), Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Detect Crisp Sets Based on Subsethood Ordering of Normalized Fuzzy Sets? How to Detect Type-1 Sets Based on Subsethood Ordering of Normalized Interval-Valued Fuzzy Sets? Proceedings of the 2018 IEEE International Conference on Fuzzy Systems FUZZ-IEEE'2018, Rio de Janeiro, July 8-13, 2018 (2018), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Efficiently Compute Ranges Over a Difference Between Boxes, With Applications to Underwater Localization Journal of Uncertain Systems 12 3 (2018), Luc Jaulin, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Explain Empirical Distribution of Software Defects by Severity Proceedings of the International Conference on Data Science and Intelligent Analysis of Information ICDSIAI'2018, Kiev, Ukraine, June 4-7, 2018 (in press), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Explain the Results of the Richard Thaler's 1997 Financial Times Contest International Mathematical Forum 13 4 (2018), Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Select the Best Paper: Towards Justification (and Possible Enhancement) of Current Semi-Heuristic Procedures Mathematical Structures and Modeling 47 (2018), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• In the Discrete Case, Averaging Cannot Be Consistent Mathematical Structures and Modeling 48 (2018), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Interval (Set) Uncertainty as a Possible Way to Avoid Infinities in Physical Theories Abstracts of the 18th International Symposium on Scientific Computing, Computer Arithmetic, and Verified Numerical Computation SCAN'2018, Tokyo, Japan, September 10-15, 2018 (in press), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Italian Folk Multiplication Algorithm Is Indeed Better: It Is More Parallelizable Proceedings of the 11th International Workshop on Constraint Programming and Decision Making CoProd'2018, Tokyo, Japan, September 10, 2018 (in press), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Measures of Specificity Used in the Principle of Justifiable Granularity: A Theoretical Explanation of Empirically Optimal Selections Proceedings of the 2018 IEEE International Conference on Fuzzy Systems FUZZ-IEEE'2018, Rio de Janeiro, July 8-13, 2018 (2018), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Reverse Mathematics Is Computable for Interval Computations Proceedings of the 11th International Workshop on Constraint Programming and Decision Making CoProd'2018, Tokyo, Japan, Sepetmber 10, 2018 (in press), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Teaching to study vs. just teaching the material Proceedings of the 8th International Scientific-Practical Conference "Mathematical Education in Schools and Universities: Innovations in the Information Space" MATHEDU'2018, Kazan, Russia, October 17-21, 2018 (2018), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Towards Foundations of Interval and Fuzzy Uncertainty Journal of Uncertain Systems 12 3 (2018), Mahdokht Afravi, Keihinde Akinola, Fredrick Ayivor, Ramon Bustamante, Erick Duarte, Ahnaf Farhan, Martha Garcia, Govinda KC, Jeffrey Hope, Olga M. Kosheleva, Vladik Y. Kreinovich, Jose Perez, Francisco Rodriguez, Christian Servin, ERic Torres, Jesus Tovar.
• Towards More Realistic Interval Models in Econometrics Abstracts of the 18th International Symposium on Scientific Computing, Computer Arithmetic, and Verified Numerical Computation SCAN'2018, Tokyo, Japan, September 10-15, 2018 (in press), Songsak Sriboonchitta, Thach N. Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Type-2 Fuzzy Analysis Explains Ubiquity of Triangular and Trapezoid membership functions Proceedings of the World Conference on Soft Computing, Baku, Azerbaijan, May 29-31, 2018 (in press), Olga M. Kosheleva, Vladik Y. Kreinovich, Shahnaz Shahbazova.
• When Is Propagation of Interval and Fuzzy Uncertainty Feasible? Proceedings of the 8th International Workshop on Reliable Engineering Computing REC'2018, Liverpool, UK, July 16-18, 2018 (in press), Vladik Y. Kreinovich, Andrzej M. Pownuk, Olga M. Kosheleva, Aleksandra Belina.
• Which t-Norm Is Most Appropriate for Bellman-Zadeh Optimization Proceedings of the World Conference on Soft Computing, Baku, Azerbaijan, May 29-31, 2018 (in press), Vladik Y. Kreinovich, Olga M. Kosheleva, Shahnaz Shahbazova.
• Why 70/30 or 80/20 Relation Between Training and Testing Sets: A Pedagogical Explanation International Journal of Intelligent Technologies and Applied Statistics 11 2 (2018), Afshin Gholamy, Vladik Y. Kreinovich, Olga M. Kosheleva.
• Why Asset-Based Approach to Teaching Is More Effective than the Usual Deficit-Based Approach, and Why The New Approach Is Not Easy to Implement: A Simple Geometric Explanation Abstracts of the 22nd Joint NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Sciences, Las Cruces, New Mexico, April 7, 2018 (2018), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Asset-Based Approach to Teaching Is More Effective than the Usual Deficit-Based Approach, and Why The New Approach Is Not Easy to Implement: A Simple Geometric Explanation Geombinatorics 28 2 (2018), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Bellman-Zadeh Approach to Fuzzy Optimization Applied Mathematical Sciences 12 11 (2018), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Learning Has Aha-Moments and Why We Should Also Reward Effort, Not Just Results International Journal of Intelligent Technologies and Applied Statistics 11 2 (2018), Gerardo Uranga, Vladik Y. Kreinovich, Olga M. Kosheleva.
• Why Skew Normal: A Simple Pedagogical Explanation International Journal of Intelligent Technologies and Applied Statistics 11 2 (2018), Jose G. Flores Muniz, Vyacheslav Kalashnikov, Nataliya Kalashnikova, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Superforecasters Change Their Estimates on Average by 3.5%: A Possible Theoretical Explanation International Mathematical Forum 13 4 (2018), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Triangular Membership Functions Are Often Efficient in F-Transform Applications: Relation to Probabilistic and Interval Uncertainty and to Haar Wavelets Abstracts of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'2018, Cadiz, Spain, June 11-15, 2018 (2018), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Under Stress Positive Reinforcement Is More Effective? Why Optimists Study Better? Why People Become Restless? Simple Utility-Based Explanations Mathematical Structures and Modeling 46 (2018), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Zipf's Law: A Symmetry-Based Explanation International Mathematical Forum 13 6 (2018), Daniel Cervantes, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Zipf's Law: A Symmetry-Based Explanation Abstracts of the 22nd Joint NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Sciences, Las Cruces, New Mexico, April 7, 2018 (2018), Daniel Cervantes, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Ancient Bankruptcy Solution Makes Economic Sense Springer Verlag (2018), Anh H. Ly, Michael Zakharevich, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Beyond traditional applications of fuzzy techniques: main idea and case studies Springer (2018), Vladik Y. Kreinovich, Olga M. Kosheleva, Thongchai Dumrongpokaphan.
• Chemical Kinetics in Situations Intermediate Between Usual and High Concentrations: Fuzzy-Motivated Derivation of the Formulas Springer (2018), Olga M. Kosheleva, Vladik Y. Kreinovich, Laecio Carvalho Barros.
• Do It Today Or Do It Tomorrow: Empirical Non-Exponential Discounting Explained by Symmetry Ideas Proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM'2018, Hanoi, Vietnam, March 13-15, 2018 (in press), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich, Thongchai Dumrongpokaphan.
• Do It Today Or Do It Tomorrow: Empirical Non-Exponential Discounting Explained by Symmetry Ideas Abstracts of the 6th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM'2018, Hanoi, Vietnam, March 13-15 (2018), Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich, Thongchai Dumrongpokaphan.
• Efficient Parameter-Estimating Algorithms for Symmetry-Motivated Models: Econometrics and Beyond Springer Verlag (2018), Vladik Y. Kreinovich, Anh H. Ly, Olga M. Kosheleva, Songsak Sriboonchitta.
• Ho to Make a Proof of Halting Problem More Convincing: A Pedagogical Remark International Mathematical Forum 13 1 (2018), Benjamin Robertson, Vladik Y. Kreinovich, Olga M. Kosheleva.
• How Better Are Predictive Models: Analysis on the Practically Important Example of Robust Interval Uncertainty Springer Verlag (2018), Vladik Y. Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, Olga M. Kosheleva.
• How to Gauge Accuracy of Processing Big Data: Teaching Machine Learning Techniques to Gauge Their Own Accuracy Springer Verlag (2018), Vladik Y. Kreinovich, Thongchai Dumrongpokaphan, Hung T. Nguyen, Olga M. Kosheleva.
• How to Gauge the Accuracy of Fuzzy Control Recommendations: A Simple Idea Springer Verlag (2018), Patricia Melin, Oscar Castillo, Andrzej Ponwuk, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Predict Nesting Sites and How to Measure Shoreline Erosion: Fuzzy and Probabilistic Techniques for Environment-Related Spatial Data Processing Springer (2018), Steven Escarzaga, Craig E. Tweedie, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Predict Nesting Sites and How to Measure Shoreline Erosion: Fuzzy and Probabilistic Techniques for Environment-Related Spatial Data Processing Springer (2018), Steven Escarzaga, Craig E. Tweedie, Olga M. Kosheleva, Vladik Y. Kreinovich.
• In Fuzzy Decision Making, General Fuzzy Sets Can Be Replaced by Fuzzy Numbers Journal of Uncertain Systems 12 3 (2018), Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Maximum Entropy Beyond Selecting Probability Distributions Springer Verlag (2018), Thach N. Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Quantum Econometrics: How to Explain Its Quantitative Successes and How the Resulting Formulas Are Related to Scale Invariance, Entropy, and Fuzziness Proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM'2018, Hanoi, Vietnam, March 13-15, 2018 (in press), Kittawit Autchariyapanitkul, Olga M. Kosheleva, Vladik Y. Kreinovich, Songsak Sriboonchitta.
• Quantum Econometrics: How to Explain Its Quantitative Successes and How the Resulting Formulas Are Related to Scale Invariance, Entropy, and Fuzziness Abstracts of the 6th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM'2018, Hanoi, Vietnam, March 13-15, 2018 (2018), Kittwait Autchariyapanitkul, Olga M. Kosheleva, Vladik Y. Kreinovich, Songsak Sriboonchitta.
• The sums of mv and mv^2 are preserved, why no sum of mv^3: a pedagogical remark Mathematical Structures and Modeling 45 (2018), John C. McClure, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Deep Learning Methods Use KL Divergence Instead of Least Squares: A Possible Pedagogical Explanation Mathematical Structures and Modeling 46 (2018), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Student Distributions? Why Matern's Covariance Model? A Symmetry-Based Explanation Springer Verlag (2018), Stephen Schoen, Gael Kermarrec, Boris Kargoll, Ingo Neumann, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Taylor models and modified Taylor models are empirically successful: a symmetry-based explanation Proceedings of the 8th International Workshop on Reliable Engineering Computing REC'2018, Liverpool, UK, July 16-18, 2018 (in press), Mioara Joldes, Christoph Lauter, Martine C. Ceberio, Vladik Y. Kreinovich, Olga M. Kosheleva.
• Why Triangular Membership Functions Are Often Efficient in F-Transform Applications: Relation to Probabilistic and Interval Uncertainty and to Haar Wavelets Proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'2018, Cadiz, Spain, June 11-15, 2018 (in press), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Grading that Takes into Account the Need to Learn from Mistakes Journal of Uncertain Systems 12 3 (2018), Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Constraint Approach to Multi-Objective Optimization Springer Verlag (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• From Global to Local Constraints: A Constructive Version of Bloch's Principle Springer Verlag (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Optimizing pred(25) Is NP-Hard Springer Verlag (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Peak-End Rule: A Utility-Based Explanation Springer Verlag (2018), Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
• Range Estimation under Constraints is Computable Unless There Is a Discontinuity Springer Verlag (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Towards a Physically Meaningful Definition of Computable Discontinuous and Multi-Valued Functions (Constraints) Springer Verlag (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A Natural Feasible Algorithm That Checks Satisfiability of 2-CNF Formulas and, if the Formula Is Satisfiable, Finds a Satisfying Vector Proceedings of International Forum in Mathematics Education, Kazan, Russia, October 18-22, 2017 2 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Are peoplr really irrational? Naive analysis says "yes", but detailed utility-based analysis says "rarely" Abstracts of the V International Conference on Mathematical and Computer Modeling, Omsk, Russia, December 1, 2017 (2017), Joe Lorkowski, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Are Permanent or Temporary Teams More Efficient: A Possible Explanation of the Empirical Data Journal of Innovative Technology and Education 4 1 (2017), Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Attraction-Repulsion Forces Between Biological Cells: A Theoretical Explanation of Empirical Formulas Proceedings of the 10th International Workshop on Constraint Programming and Decision Making CoProd'2017, El Paso, Texas, November 3, 2017 (2017), Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
• Contradictions do not necessarily make a theory inconsistent Journal of Innovative Technology and Education 4 1 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Derivation of Gross-Pitaevskii Version of Nonlinear Schroedinger Equation from Scale Invariance Mathematical Structures and Modeling 43 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Derivation of Gross-Pitaevskii Version of Nonlinear Schroedinger Equation from Scale Invariance Abstracts of the NMSU/UTEP Workshop on Computer Science, Mathematics, and Computational Science, Las Cruces, New Mexico, April 8, 2017 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Experimentally Observed Dark Matter Confinement Clarifies a Discrepancy in Estimating the Universe's Expansion Speed Mathematical Structures and Modeling 43 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Teach Implication Proceedings of International Forum in Mathematics Education, Kazan, Russia, October 18-22, 2017 2 (2017), Martha Osegueda Escobar, Olga M. Kosheleva, Vladik Y. Kreinovich.
• In Education, Delayed Feedback Is Often More Efficient Than Immediate Feedback: A Geometric Explanation Journal of Innovative Technology and Education 4 1 (2017), Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich.
• It Is Possible to Determine Exact Fuzzy Values Based on an Ordering of Interval-Valued or Set-Valued Fuzzy Degrees Proceedings of IEEE International Conference on Fuzzy Systems FUZZ-IEEE'2017, Naples, Italy, July 9-12, 2017 (2017), Olga M. Kosheleva, Gerardo Muela, Vladik Y. Kreinovich, Christian Servin.
• Maximum Entropy Approach to Interbank Lending: Towards a More Accurate Algorithm Thai Journal of Mathematics Special Issue on Entropy in Econometrics (2017), Thach N. Nguyen, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Maybe the Usual Students' Practice of Cramming For a Test Makes Sense: A Mathematical Analysis Proceedings of International Forum in Mathematics Education, Kazan, Russia, October 18-22, 2017 2 (2017), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Negotiations vs. confrontation: a possible explanation of the empirical results Journal of Innovative Technology and Education 4 1 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Physical Induction Explains Why Over-Realistic Animation Sometimes Feels Creepy Journal of Innovative Technology and Education 4 1 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Porazhenia ot pobedy: why should not we be able to distinguish defeat from victory? Abstracts of the V International Conference on Mathematical and Computer Modeling, Omsk, Russia, December 1, 2017 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Propagation of Probabilistic Uncertainty: The Simplest Case (A Brief Pedagogical Introduction) International Mathematical Forum 20 1 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• The Onsager Conjecture: A Pedagogical Explanation Mathematical Structures and Modeling 44 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Towards Decision Making under General Uncertainty Mathematical Structures and Modeling 44 (2017), Andrzej M. Pownuk, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Uncertain Information Fusion and Knowledge Integration: How to Take Reliability into Account Proceedings of the Joint 17th Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems IFSA-SCIS'2017, Otsu, Japan, June 27-30, 2017 (2017), Hung T. Nguyen, Kittawit Autchariyapanitkul, Olga M. Kosheleva, Vladik Y. Kreinovich.
• What If We Only Know Hurwicz's Optimism-Pessimism Parameter with Interval Uncertainty? Abstracts of the 21st Joint UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Sciences, El Paso, Texas, November 4, 2017 (2017), Jeffrey Hope, Olga M. Kosheleva, Vladik Y. Kreinovich.
• What is so good about being poor in spirit? A rational explanation of the seemingly anti-intellectual statement Abstracts of the V International Conference on Mathematical and Computer Modeling}, Omsk, Russia, December 1, 2017 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Which Material Design Is Possible Under Additive Manufacturing: A Fuzzy Approach Proceedings of the Joint 17th Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems IFSA-SCIS'2017, Otsu, Japan, June 27-30, 2017 (2017), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why "a" and "the"? Why plural? Why one God? An algorithmic explanation Abstracts of the V International Conference on Mathematical and Computer Modeling, Omsk, Russia, December 1, 2017 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Boxes for Mu;ti-D Uncertainty? Abstracts of the 21st Joint UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Sciences, El Paso, Texas, November 4, 2017 (2017), Christian Servin, Erick Duarte, Francisco Rodriguez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Chinese people are perceived as louder? An explanation Abstracts of the V International Conference on Mathematical and Computer Modeling, Omsk, Russia, December 1 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Stable Teams Are More Efficient in Education Mathematical Structures and Modeling 44 (2017), Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why West-to-East Jetlag Is More Severe: A Simple Qualitative Explanation Journal of Innovative Technology and Education 4 1 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• A Simple Geometric Explanation of Occam's Razor Geombinatorics 27 1 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Econometric Models of Probabilistic Choice: Beyond McFadden's Fomulas Springer Verlag (in press), Olga M. Kosheleva, Vladik Y. Kreinovich, Songsak Sribooonchitta.
• Econometric Models of Probabilistic Choice: Beyond McFadden's Formulas Springer Verlag (2017), Olga M. Kosheleva, Vladik Y. Kreinovich, Songsak Sriboonchitta.
• For Fuzzy Logic, Occam's Principle Explains the Ubiquity of the Golden Ratio and of the 80-20 Rule Journal of Innovative Technology and Education 4 1 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Geometric symmetries partially explain why some paleolithic signs are more frequent Geombinatorics 26 4 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Explain Ubiquity of Constant Elasticity of Substitution (CES) Production and Utility Functions Without Explicitly Postulating CES Springer Verlag (2017), Olga M. Kosheleva, Vladik Y. Kreinovich, Thongchai Dumrongpokaphan.
• How to take into account model inaccuracy when estimating the uncertainty of the result of data processing ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering 3 1 (2017), Vladik Y. Kreinovich, Olga M. Kosheleva, Andrzej M. Pownuk, Rodrigo A. Romero.
• It Is Advantageous to Make a Syllabus As Precise As Possible: Decision-Theoretic Analysis Journal of Innovative Technology and Education 4 1 (2017), Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Robustness as a Criterion for Selecting a Probability Distribution Under Uncertainty Springer Verlag (2017), Songsak Sriboonchitta, Hung T. Nguyen, Vladik Y. Kreinovich, Olga M. Kosheleva.
• The Range of a Continuous Functional Under Set-Valued Uncertainty Is Always an Interval Reliable Computing 24 27-30 (2017), Vladik Y. Kreinovich, Olga M. Kosheleva.
• What Is the Best Way to Add Large Number of Integers: Number-by-Number As Computers Do Or Lowest-Digits-Than-Next-Digits-Etc As We Humans Do? Mathematical Structures and Modeling 42 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• When Invading, Cancer Cells Do Not Divide: A Geometric (Symmetry-Based) Explanation of an Empirical Observation Mathematical Structures and Modeling 41 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Most Bright Stars Are Binary But Most Dim Stars Are Single: A Simple Qualitative Explanation Mathematical Structures and Modeling 41 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Multiplication Has Higher Priority than Addition: A Pedagogical Remark Journal of Innovative Technology and Education 4 1 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Product "And"-Operation Is Often Efficient: One More Argument Journal of Innovative Technology and Education 4 1 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why RSA? A Pedagogical Comment Journal of Innovative Technology and Education 4 1 (2017), Pedro Barragan Olague, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why the Presence of Point-Wise ("Punctate") Calcifications or Linear Configurations of Calcifications Makes Breast Cancer More Probable: A Geometric Explanation Geombinatorics 27 2 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Yes- and No-Gestures Explained by Symmetry Mathematical Structures and Modeling 41 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• From Tertullian's Credo Quia Absurdum to Bohr's Crazy Theories: A Rational Explanation of a Seemingly Irrational Idea Journal of Uncertain Systems 11 2 (2017), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Modeling Extremal Events Is Not Easy: Why the Extreme Value Theorem Cannot Be As General As the Central Limit Theorem Springer Verlag (2017), Vladik Y. Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, Olga M. Kosheleva.
• What Is Computable? What Is Feasibly Computable? A Physicist's Viewpoint Springer Verlag (2017), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Why Is Linear Quantile Regression Empirically Successful: A Possible Explanation Springer Verlag (2017), Hung T. Nguyen, Vladik Y. Kreinovich, Olga M. Kosheleva, Songsak Sriboonchitta.
• Students Learning about Music-Math Connections by Playing with Cuisennaire Rods Journal of Mathematics Education Special Issue Innovative Approaches to Mathematics Education 9 2 (2016), Claudia Saldaña, Olga M. Kosheleva.
• Bayesian Approach to Intelligent Control and Its Relation to Fuzzy Control Thai Journal of Mathematics Special Issue on Applied Mathematics: Bayesian Econometrics (2016), Kongliang Zhu, Vladik Y. Kreinovich, Olga M. Kosheleva.
• Bell-Shaped Curve for Productivity Growth: An Explanation Mathematical Structures and Modeling 40 (2016), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Beyond traditional applications of fuzzy techniques: main idea and case studies Abstracts of the 2nd European Summer School on Fuzzy Logic and Applications SFLA'2016, Celadna, Czech Republic, August 14-19, 2016 (2016), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Big Data: A Geometric Explanation of a Seemingly Counterintuitive Strategy Geombinatorics 26 2 (2016), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Chemical Kinetics in Situations Intermediate Between Usual and High Concentrations: Fuzzy-Motivated Derivation of the Formulas Proceedings of the 2016 World Conference on Soft Computing, Berkeley, California, May 22-25, 2016 (2016), Olga M. Kosheleva, Vladik Y. Kreinovich, Laecio C. Barros.
• Cosmological Inflation: A Simple Qualitative Explanation Proceedings of the 4th International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 11, 2016 (2016), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Decision Making Under Twin Interval Uncertainty Abstracts of the 9th Small Workshop on Interval Methods SWIM'2016, Lyon, France, June 19-22, 2016 (2016), Barnabas Bede, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Fuzzy-Inspired Hierarchical Version of the von Neumann-Morgenstern Solutions as a Natural Way to Resolve Collaboration-Related Conflicts Abstracts of the IEEE International Conference on Systems, Man, and Cybernetics, October 9-12, Budapest, Hungary (2016), Vladik Y. Kreinovich, Olga M. Kosheleva, Martha Osegueda Escobar.
• Fuzzy-Inspired Hierarchical Version of the von Neumann-Morgenstern Solutions as a Natural Way to Resolve Collaboration-Related Conflicts Abstracts of International IEEE Conference on Systems, Man, and Cybernetics SMC'2016, Budapest, Hungary, October 9-12, 2016 (2016), Olga M. Kosheleva, Vladik Y. Kreinovich, Martha Osegueda Escobar.
• Fuzzy-Inspired Hierarchical Version of the von Neumann-Morgenstern Solutions as a Natural Way to Resolve Collaboration-Related Conflicts Proceedings of International IEEE Conference on Systems, Man, and Cybernetics SMC'2016, Budapest, Hungary, October 9-12, 2016 (2016), Olga M. Kosheleva, Vladik Y. Kreinovich, Martha Osegueda.
• How Resilient Modulus of a Pavement Depends on Moisture Level: Towards a Theoretical Justification of a Practically Important Empirical Formula Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2016, El Paso, Texas, October 31 - November 4, 2016 (in press), Pedro Barragan Olague, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Estimate Amount of Useful Information, in Particular Under Imprecise Probability Proceedings of the 7th International Workshop on Reliable Engineering Computing REC'2016, Bochum, Germany, June 15-17, 2016 (2016), Luc Longpré, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Explain Log-Linear Relation Between Amount of Computations and Effectiveness of the Result -- a Relation that Motivates the Need for Big Data Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 2, 2016 (2016), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Predict Nesting Sites and How to Measure Shoreline Erosion: Fuzzy and Probabilistic Techniques for Environment-Related Spatial Data Processing Proceedings of the 2016 World Conference on Soft Computing, Berkeley, California, May 22-25, 2016 (2016), Stephen Escarzaga, Craig E. Tweedie, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Select an Appropriate Similarity Measure: Towards a Symmetry-Based Approach Proceedings of the 5th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM'2016, Da Nang, Vietnam, November 30 - December 2, 2016 (2016), Ildar Batyrshin, Thongchai Dumrongpokaphan, Vladik Y. Kreinovich, Olga M. Kosheleva.
• How to Transform Partial Order Between Degrees into Numerical Values Abstracts of the IEEE International Conference on Systems, Man, and Cybernetics, Budapest, Hungary, October 9-12, 2016 (2016), Vladik Y. Kreinovich, Olga M. Kosheleva, Joe Lorkowski, Martha Osegueda Escobar.
• How to Transform Partial Order Between Degrees into Numerical Values Abstracts of International IEEE Conference on Systems, Man, and Cybernetics SMC'2016, Budapest, Hungary, October 9-12, 2016 (2016), Olga M. Kosheleva, Vladik Y. Kreinovich, Joe Lorkowski, Martha Osegueda.
• How to Transform Partial Order Between Degrees into Numerical Values Proceedings of International IEEE Conference on Systems, Man, and Cybernetics SMC'2016, Budapest, Hungary, October 9-12, 2016 (2016), Olga M. Kosheleva, Vladik Y. Kreinovich, Joe Lorkowski, Martha Osegueda.
• Interpolation Sometimes Enhances and Sometimes Impedes Spatial Correlation: Simple Pedagogical Examples Journal of Innovative Technology and Education 3 1 (2016), Olga M. Kosheleva, Vladik Y. Kreinovich.
• It Is Advantageous to Make a Syllabus As Precise As Possible: Decision-Theoretic Analysis Abstracts of the 19th Joint UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Sciences, El Paso, Texas, November 5, 2016 (2016), Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Limitations of realistic Monte-Carlo techniques in estimating interval uncertainty Proceedings of the 7th International Workshop on Reliable Engineering Computing REC'2016, Bochum, Germany, June 15-17, 2016 (2016), Andrzej M. Pownuk, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Need for Most Accurate Discrete Approximations Explains Effectiveness of Statistical Methods Based on Heavy-Tailed Distributions Proceedings of the 5th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM'2016, Da Nang, Vietnam, November 30 - December 2, 2016 (2016), Songsak Sriboonchitta, Vladik Y. Kreinovich, Olga M. Kosheleva, Hung T. Nguyen.
• One Needs to Be Careful When Dismissing Outliers: A Realistic Example Journal of Innovative Technology and Education 3 1 (2016), Carlos Fajardo, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Towards the Most Robust Way of Assigning Numerical Degrees to Ordered Labels, With Possible Applications to Dark Matter and Dark Energy Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2016, El Paso, Texas, October 31 - November 4, 2016 (in press), Olga M. Kosheleva, Vladik Y. Kreinovich, Martha Osegueda Escobar, Kimberly Kato.
• Von Neumann-Morgenstern Solutions, Quantum Physics, and Stored Programs vs. Data: Unity of Von Neumann's Legacy Proceedings of the 4th International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 11, 2016 (2016), Olga M. Kosheleva, Martha Osegueda Escobar, Vladik Y. Kreinovich.
• Voting Aggregation Leads to (Interval) Median Proceedings of the 7th International Workshop on Reliable Engineering Computing REC'2016, Bochum, Germany, June 15-17, 2016 (2016), Olga M. Kosheleva, Vladik Y. Kreinovich.
• When We Know the Number of Local Maxima, Then We Can Compute All of Them Proceedings of the Ninth International Workshop on Constraints Programming and Decision Making CoProd'2016, Uppsala, Sweden, September 25, 2016 (2016), Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
• Why Dependence of Productivity on Group Size Is Log-Normal Journal of Computing and Optimization 3 1 (2016), Francisco A. Zapata-Gonzalez, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Locating Local Optima Is Sometimes More Complicated Than Locating Global Ones Mathematical Structures and Modeling 40 (2016), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Ragin's Fuzzy Techniques Lead to Successful Social Science Applications: An Explanation Journal of Innovative Technology and Education 3 1 (2016), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Utility Non-Linearly Depends on Money: A Commonsense Explanation Proceedings of the 4th International Conference on Mathematical and Computer Modeling, Omsk, Russia, November 11, 2016 (2016), Olga M. Kosheleva, Mahdokht Afravi, Vladik Y. Kreinovich.
• A Simplified Explanation of What It Means to Assign a Finite Value to an Infinite Sum Journal of Uncertain Systems 10 1 (2016), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Across-the-Board Spending Cuts Are Very Inefficient: A Proof Springer Verlag (2016), Vladik Y. Kreinovich, Olga M. Kosheleva, Hung T. Nguyen, Songsak Sriboonchitta.
• Conditional Dimension in Metric Spaces: A Natural Metric-Space Counterpart of Kolmogorov-Complexity-Based Mutual Dimension Mathematical Structures and Modeling 37 (2016), Vladik Y. Kreinovich, Luc Longpré, Olga M. Kosheleva.
• Every Function Computable by a Single Use Expression Is a Ratio of Two Multi-Linear Functions Journal of Uncertain Systems 10 1 (2016), Joe Lorkowski, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Explaining Boris Pasternak's Observation that Complex Ideas Are Sometimes Easier to Understand Journal of Innovative Technology and Education 3 1 (2016), Olga M. Kosheleva, Vladik Y. Kreinovich.
• From Equations to Tri-quations and Multi-quations International Journal of Contemporary Mathematical Sciences 11 3 (2016), Mourat A. Tchoshanov, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Fuzzy Techniques Provide a Theoretical Explanation for the Heuristic l^p-Regularization of Signals and Images Proceedings of the 2016 IEEE International Conference on Fuzzy Systems FUZZ-IEEE'2016, Vancouver, Canada, July 24-29, 2016 (2016), Fernando Cervamtes, Bryan E. Usevitch, Leobardo Valera, Vladik Y. Kreinovich, Olga M. Kosheleva.
• How to estimate amount of useful information, in particular under imprecise probability Abstracts of the 7th International Workshop on Reliable Engineering Computing REC'2016, Bochum, Germany, June 15-17, 2016 (2016), Luc Longpré, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to take into account student’s degree of confidence when grading exams Abstracts of the 13th International Sun Conference on Teaching and Learning, El Paso, Texas, March 17-18, 2016 (2016), Olga M. Kosheleva, Joe Lorkowski, Viannette Flix, Vladik Y. Kreinovich.
• Invariance Explains Multiplicative and Exponential Skedactic Functions Springer Verlag (2016), Vladik Y. Kreinovich, Olga M. Kosheleva, Hung T. Nguyen, Songsak Sriboonchitta.
• It would be beneficial to supplement GPA with Grade Point Standard Deviation Abstracts of the 13th International Sun Conference on Teaching and Learning, El Paso, Texas, March 17-18, 2016 (2016), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Limitations of realistic Monte-Carlo techniques Abstracts of the 7th International Workshop on Reliable Engineering Computing REC'2016, Bochum, Germany, June 15-17, 2016 (2016), Andrzej M. Pownuk, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Maximum Entropy Approach Is Not As Arbitrary As It May Seem at First Glance Journal of Innovative Technology and Education 3 1 (2016), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Membership Functions Representing a Number vs. Representing a Set: Proof of Unique Reconstruction Proceedings of the 2016 IEEE International Conference on Fuzzy Systems FUZZ-IEEE'2016, Vancouver, Canada, July 24-29, 2016 (2016), Hung T. Nguyen, Vladik Y. Kreinovich, Olga M. Kosheleva.
• On the importance of duality and multi-ality in mathematics education Abstracts of the 13th International Sun Conference on Teaching and Learning, El Paso, Texas, March 17-18, 2016 (2016), Mourat A. Tchoshanov, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Science Is Helpful for Engineering Applications: A Theoretical Explanation of an Empirical Observation Journal of Innovative Technology and Education 3 1 (2016), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Simplest Innovations Are, Empirically, the Most Promising: An Explanation Mathematical Structures and Modeling 38 (2016), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Towards the Possibility of Objective Interval Uncertainty Proceedings of the 16th GAMM-IMACS International Symposium on Scientific Computing, Computer Arithmetic, and Verified Numerical Computation SCAN'2014, Wuerzburg, Germany, September 21-26, 2014 (2016), Luc Longpré, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Voting aggregation leads to (interval) median Abstracts of the 7th International Workshop on Reliable Engineering Computing REC'2016, Bochum, Germany, June 15-17, 2016 (2016), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Waning Influence of History: Why? Mathematical Structures and Modeling 38 (2016), Olga M. Kosheleva, Vladik Y. Kreinovich.
• When Can We Simplify Data Processing: An Algorithmic Answer Journal of Uncertain Systems 10 1 (2016), Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich, Berlin Wu.
• Why Injecting Fine Dust into a Tornado Is More Promising Than Injecting Coarse Dust: A Geometric Explanation Geombinatorics 25 3 (2016), Leonadro O. Lerma, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why It Is Healthy to Regularly Challenge Authority: An Algorithmic Explanation Mathematical Structures and Modeling 38 (2016), Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why It Is Important to Precisiate Goals Journal of Uncertain Systens 10 1 (2016), Olga M. Kosheleva, Vladik Y. Kreinovich, Hung T. Nguyen.
• Why Some Families of Probability Distributions Are Practically Efficient: A Symmetry-Based Explanation Springer Verlag (2016), Vladik Y. Kreinovich, Olga M. Kosheleva, Hung T. Nguyen, Songsak Sriboonchitta.
• Why the Graph Isomorphism Problem Is Easier Than Propositional Satisfiability: A Possible Qualitative Explanation International Journal of Contemporary Mathematical Sciences 11 3 (2016), Vladik Y. Kreinovich, Olga M. Kosheleva.
• Why the Range of a Robust Statistic Under Interval Uncertainty Is Often Easier to Compute Journal of Innovative Technology and Education 3 1 (2016), Olga M. Kosheleva, Vladik Y. Kreinovich.

• Derivation of Gross-Pitaevskii Version of Nonlinear Schroedinger Equation from Scale Invariance (2017), Volume Las Cruces, New Mexico, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Explain Ubiquity of Constant Elasticity of Substitution (CES) Production and Utility Functions Without Explicitly Postulating CES (2017), Volume Chiang Mai, Thailand, Olga M. Kosheleva, Vladik Y. Kreinovich, Thongchai Dumrongpokaphan.
• Econometric Models of Probabilistic Choice: Beyond McFadden's Formulas (2017), Volume Chaing Mai, Thailand, Olga M. Kosheleva, Vladik Y. Kreinovich, Songsak Sriboonchitta.
• How to Select an Appropriate Similarity Measure: Towards a Symmetry-Based Approach (2016), Volume Da Nang, Veitnam, Vladik Y. Kreinovich, Ildar Batyrshin, Thongchai Dumrongpokaphan, Olga M. Kosheleva.
• Need for Most Accurate Discrete Approximations Explains Effectiveness of Statistical Methods Based on Heavy-Tailed Distributions (2016), Volume Da Nang, Vietnam, Songsak Sriboonchitta, Olga M. Kosheleva, Vladik Y. Kreinovich, Hung T. Nguyen.
• It Is Advantageous to Make a Syllabus As Precise As Possible: Decision-Theoretic Analysis (2016), Volume El Paso, Texas, Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How Resilient Modulus of a Pavement Depends on Moisture Level: Towards a Theoretical Justification of a Practically Important Empirical Formula (2016), Volume El Paso, Texas, Pedro Barragan Olague, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Towards the Most Robust Way of Assigning Numerical Degrees to Ordered Labels, With Possible Applications to Dark Matter and Dark Energy (2016), Volume El Paso, Texas, Olga M. Kosheleva, Vladik Y. Kreinovich, Martha Osegueda Escobar, Kimberly Kato.
• How to Transform Partial Order Between Degrees into Numerical Vlaues? (2016), Volume Budapest, Hungary, Olga M. Kosheleva, Vladik Y. Kreinovich, Joe Lorkowski, Martha Osegueda Escobar.
• Fuzzy-Inspired Hierarchical Version of the von Neumann-Morgenstern Solutions as a Natural Way to Resolve Collaboration-Related Conflicts (2016), Volume Budapest, Hungary, Olga M. Kosheleva, Vladik Y. Kreinovich, Martha Osegueda Escobar.
• When We Know the Number of Local Maxima, Then We Can Compute All of Them (2016), Volume Uppsala, Sweden, Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
• Membership Functions Representing a Number vs. Representing a Set: Proof of Unique Reconstruction (2016), Volume Vancouver, Canada, Hung T. Nguyen, Vladik Y. Kreinovich, Olga M. Kosheleva.
• Decision Making Under Twin Interval Uncertainty (2016), Volume Lyon, France, Barnabas Bede, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Voting Aggregation Leads to (Interval) Median (2016), Volume Bochum, Germany, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Limitations of Realistic Monte-Carlo Techniques in Estimating Interval Uncertainty (2016), Volume Bochum, Germany, Andrzej M. Pownuk, Olga M. Kosheleva, Vladik Y. Kreinovich.

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