Technical Reports from 2016
Why Most Bright Stars Are Binary But Most Dim Stars Are Single: A Simple Qualitative Explanation, Olga Kosheleva and Vladik Kreinovich
Why Multiplication Has Higher Priority than Addition: A Pedagogical Remark, Olga Kosheleva and Vladik Kreinovich
Why Product "And"-Operation Is Often Efficient: One More Argument, Olga Kosheleva and Vladik Kreinovich
Why Ragin's Fuzzy Techniques Lead to Successful Social Science Applications: An Explanation, Olga Kosheleva and Vladik Kreinovich
Why the Presence of Point-Wise ("Punctate") Calcifications or Linear Configurations of Calcifications Makes Breast Cancer More Probable: A Geometric Explanation, Olga Kosheleva and Vladik Kreinovich
Yes- and No-Gestures Explained by Symmetry, Olga Kosheleva and Vladik Kreinovich
Why Utility Non-Linearly Depends on Money: A Commonsense Explanation, Olga Kosheleva, Vladik Kreinovich, and Mahdokhat Afravi
Chemical Kinetics in Situations Intermediate Between Usual and High Concentrations: Fuzzy-Motivated Derivation of the Formulas, Olga Kosheleva, Vladik Kreinovich, and Laécio Carvalho Barros
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
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
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
How to Transform Partial Order Between Degrees into Numerical Values, Olga Kosheleva, Vladik Kreinovich, Joe Lorkowski, and Martha Osegueda Escobar
Econometric Models of Probabilistic Choice: Beyond McFadden's Formulas, Olga Kosheleva, Vladik Kreinovich, and Songsak Sriboonchitta
Comparison of Formulations of Applied Tasks With Interval, Fuzzy Set and Probability Approaches, Boris Kovalerchuk and Vladik Kreinovich
Concepts of solutions of uncertain equations with intervals, probabilities and fuzzy sets for applied tasks, Boris Kovalerchuk and Vladik Kreinovich
A Simplified Derivation of Confidence Regions Based on Inferential Models, Vladik Kreinovich
Computers of Generation Omega and the Future of Computing, Vladik Kreinovich
George Klir and the Great Chain of Ideas, Vladik Kreinovich
What Will Make Computers Faster: An Approach Based on Computational Complexity, Vladik Kreinovich
Why 3-D Space? Why 10-D Space? A Possible Simple Geometric Explanation, Vladik Kreinovich
Z-Numbers and Type-2 Fuzzy Sets: A Representation Result, Vladik Kreinovich and Rafik Aliev
Optimal Group Decision Making Criterion and How It Can Help to Decrease Poverty, Inequality, and Discrimination, Vladik Kreinovich and Thongchai Dumrongpokaphan
The Range of a Continuous Functional Under Set-Valued Uncertainty Is Always an Interval, Vladik Kreinovich and Olga Kosheleva
Which Interval Is the Closest to a Given Set?, Vladik Kreinovich and Olga Kosheleva
For Multi-Interval-Valued Fuzzy Sets, Centroid Defuzzification Is Equivalent to Defuzzifying Its Interval Hull: A Theorem, Vladik Kreinovich and Songsak Sriboonchitta
How to Estimate Amount of Useful Information, in Particular Under Imprecise Probability, Luc Longpre, Olga Kosheleva, and Vladik Kreinovich
How to Describe Measurement Uncertainty and Uncertainty of Expert Estimates?, Nicolas Madrid, Irina Perfilieva, and Vladik Kreinovich
Scaling-Invariant Description of Dependence Between Fuzzy Variables: Towards a Fuzzy Version of Copulas, Gerardo Muela, Vladik Kreinovich, and Christian Servin
How to Make Machine Learning Robust Against Adversarial Inputs, Gerardo Muela, Christian Servin, and Vladik Kreinovich
Membership Functions Representing a Number vs. Representing a Set: Proof of Unique Reconstruction, Hung T. Nguyen, Vladik Kreinovich, and Olga Kosheleva
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
Why RSA? A Pedagogical Comment, Pedro Barragan Olague, Olga Kosheleva, and Vladik Kreinovich
Why Growth of Cancerous Tumors Is Gompertzian: A Symmetry-Based Explanation, Pedro Barragan Olague and Vladik Kreinovich
Why Half-Frequency in Intelligent Compaction, Pedro Barragan Olague and Vladik Kreinovich
Why Superellipsoids: A Probability-Based Explanation, Pedro Barragan Olague and Vladik Kreinovich
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
Use of Machine Learning to Analyze and -- Hopefully -- Predict Volcano Activity, Justin Parra, Olac Fuentes, Elizabeth Y. Anthony, and Vladik Kreinovich
Adjoint Fuzzy Partition and Generalized Sampling Theorem, Irina Perfilieva, Michal Holčapek, and Vladik Kreinovich
Limitations of Realistic Monte-Carlo Techniques, Andrzej Pownuk, Olga Kosheleva, and Vladik Kreinovich
Towards Decision Making under Interval Uncertainty, Andrzej Pownuk and Vladik Kreinovich
Which Point From an Interval Should We Choose?, Andrzej Pownuk and Vladik Kreinovich
Fuzzy Data Processing Beyond Min t-Norm, Andrzej Pownuk, Vladik Kreinovich, and Songsak Sriboonchitta
Why Compaction Meter Value (CMV) Is a Good Measure of Pavement Stiffness: Towards a Possible Theoretical Explanation, Andrzej Pownuk, Pedro Barragan Olague, and Vladik Kreinovich
Preliminary Investigation of Mobile System Features Potentially Relevant to HPC, David Pruitt and Eric Freudenthal
How to Determine the Stiffness of the Pavement's Upper Layer (Base) Based on the Overall Stiffness and the Stiffness of the Lower Layer (Subgrade), Christian Servin and Vladik Kreinovich
Intuitionistic Fuzzy Logic Is Not Always Equivalent to Interval-Valued One, Christian Servin and Vladik Kreinovich
Which Robust Versions of Sample Variance and Sample Covariance Are Most Appropriate for Econometrics: Symmetry-Based Analysis, Songsak Sriboonchitta, Ildar Batyrshin, and Vladik Kreinovich
Need for Most Accurate Discrete Approximations Explains Heavy-Tailed Distributions, Songsak Sriboonchitta, Vladik Kreinovich, Olga Kosheleva, and Hung T. Nguyen
Robustness as a Criterion for Selecting a Probability Distribution Under Uncertainty, Songsak Sriboonchitta, Hung T. Nguyen, Vladik Kreinovich, and Olga Kosheleva
Model-Order Reduction Using Interval Constraint Solving Techniques, Leobardo Valera and Martine Ceberio