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Technical Reports from 2016

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Why Hausdorff Distance Is Natural in Interval Computations, Olga Kosheleva and Vladik Kreinovich

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Why Locating Local Optima Is Sometimes More Complicated Than Locating Global Ones, Olga Kosheleva and Vladik Kreinovich

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Why Ragin's Fuzzy Techniques Lead to Successful Social Science Applications: An Explanation, Olga Kosheleva and Vladik Kreinovich

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Chemical Kinetics in Situations Intermediate Between Usual and High Concentrations: Fuzzy-Motivated Derivation of the Formulas, Olga Kosheleva, Vladik Kreinovich, and Laécio Carvalho Barros

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How to Explain Ubiquity of Constant Elasticity of Substitution (CES) Production and Utility Functions Without Explicitly Postulating CES, Olga Kosheleva, Vladik Kreinovich, and Thongchai Dumrongpokaphan

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Fuzzy-Inspired Hierarchical Version of the von~Neumann-Morgenstern Solutions as a Natural Way to Resolve Collaboration-Related Conflicts, Olga Kosheleva, Vladik Kreinovich, and Martha Osegueda Escobar

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Towards the Most Robust Way of Assigning Numerical Degrees to Ordered Labels, With Possible Applications to Dark Matter and Dark Energy, Olga Kosheleva, Vladik Kreinovich, Martha Osegueda Escobar, and Kimberly Kato

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How to Transform Partial Order Between Degrees into Numerical Values, Olga Kosheleva, Vladik Kreinovich, Joe Lorkowski, and Martha Osegueda Escobar

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Econometric Models of Probabilistic Choice: Beyond McFadden's Formulas, Olga Kosheleva, Vladik Kreinovich, and Songsak Sriboonchitta

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Comparison of Formulations of Applied Tasks With Interval, Fuzzy Set and Probability Approaches, Boris Kovalerchuk and Vladik Kreinovich

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Concepts of solutions of uncertain equations with intervals, probabilities and fuzzy sets for applied tasks, Boris Kovalerchuk and Vladik Kreinovich

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Computers of Generation Omega and the Future of Computing, Vladik Kreinovich

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George Klir and the Great Chain of Ideas, Vladik Kreinovich

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What Will Make Computers Faster: An Approach Based on Computational Complexity, Vladik Kreinovich

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Why 3-D Space? Why 10-D Space? A Possible Simple Geometric Explanation, Vladik Kreinovich

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The Range of a Continuous Functional Under Set-Valued Uncertainty Is Always an Interval, Vladik Kreinovich and Olga Kosheleva

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Which Interval Is the Closest to a Given Set?, Vladik Kreinovich and Olga Kosheleva

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How to Estimate Amount of Useful Information, in Particular Under Imprecise Probability, Luc Longpre, Olga Kosheleva, and Vladik Kreinovich

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How to Describe Measurement Uncertainty and Uncertainty of Expert Estimates?, Nicolas Madrid, Irina Perfilieva, and Vladik Kreinovich

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Membership Functions Representing a Number vs. Representing a Set: Proof of Unique Reconstruction, Hung T. Nguyen, Vladik Kreinovich, and Olga Kosheleva

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How Resilient Modulus of a Pavement Depends on Moisture Level: Towards a Theoretical Justification of a Practically Important Empirical Formula, Pedro Barragan Olague, Olga Kosheleva, and Vladik Kreinovich

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Why Superellipsoids: A Probability-Based Explanation, Pedro Barragan Olague and Vladik Kreinovich

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How to Estimate Resilient Modulus for Unbound Aggregate Materials: A Theoretical Explanation of an Empirical Formula, Pedro Barragan Olague, Soheil Nazarian, Vladik Kreinovich, and Afshin Gholamy

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Adjoint Fuzzy Partition and Generalized Sampling Theorem, Irina Perfilieva, Michal Holčapek, and Vladik Kreinovich

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Limitations of Realistic Monte-Carlo Techniques, Andrzej Pownuk, Olga Kosheleva, and Vladik Kreinovich