Technical Reports from 2020
New (Simplified) Derivation of Nash's Bargaining Solution, Nguyen Hoang Phuong, Laxman Bokati, and Vladik Kreinovich
Towards Making Fuzzy Techniques More Adequate for Combining Knowledge of Several Experts, Nguyen Hoang Phuong and Vladik Kreinovich
Crack Growth: Theoretical Explanation of Empirical Formulas, Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, and Vladik Kreinovich
How the Amount of Cracks and Potholes Grows with Time: Symmetry-Based Explanation of Empirical Dependencies, Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, and Vladik Kreinovich
Common-Sense-Based Theoretical Explanation for an Empirical Formula Estimating Road Quality, Edgar Daniel Rodriguez Velasquez and Vladik Kreinovich
Scale-Invariance Ideas Explain the Empirical Soil-Water Characteristic Curve, Edgar Daniel Rodriguez Velasquez and Vladik Kreinovich
Strength of Lime Stabilized Pavement Materials: Possible Theoretical Explanation of Empirical Dependencies, Edgar Daniel Rodriguez Velasquez and Vladik Kreinovich
Towards a Theoretical Explanation of How Pavement Condition Index Deteriorates Over Time, Edgar Daniel Rodriguez Velasquez and Vladik Kreinovich
How to Estimate the Stiffness of the Multi-Layer Road Based on Properties of Layers: Symmetry-Based Explanation for Odemark's Equation, Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich, Olga Kosheleva, and Nguyen Hoang Phuong
Why Some Powers Laws Are Possible And Some Are Not, Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich, Olga Kosheleva, and Nguyen Hoang Phuong
Why Ellipsoids in Mechanical Analysis of Wood Structures, F. Niklas Schietzold, Julio Urenda, Vladik Kreinovich, Wolfgang Graf, and Michael Kaliske
Adversarial Teaching Approach to Cybersecurity: A Mathematical Model Explains Why It Works Well, Christian Servin, Olga Kosheleva, and Vladik Kreinovich
A Recent Result about Random Metrics Explains Why All of Us Have Similar Learning Potential, Christian Servin, Olga Kosheleva, and Vladik Kreinovich
How to Explain the Relation Between Different Empirical Covid-19 Self-Isolation Periods, Christian Servin, Olga Kosheleva, and Vladik Kreinovich
How to Separate Absolute and Relative Error Components: Interval Case, Christian Servin, Olga Kosheleva, and Vladik Kreinovich
Is There a Contradiction Between Statistics and Fairness: From Intelligent Control to Explainable AI, Christian Servin and Vladik Kreinovich
Need for Diversity in Elected Decision-Making Bodies: Economics-Related Analysis, Nguyen Ngoc Thach, Olga Kosheleva, and Vladik Kreinovich
How Quantum Cryptography and Quantum Computing Can Make Cyber-Physical Systems More Secure, Deepak Tosh, Oscar Galindo, Vladik Kreinovich, and Olga Kosheleva
Natural Invariance Explains Empirical Success of Specific Membership Functions, Hedge Operations, and Negation Operations, Julio Urenda, Orsoly Csiszár, Gábor Csiszár, József Dombi, György Eigner, and Vladik Kreinovich
Why Squashing Functions in Multi-Layer Neural Networks, Julio Urenda, Orsoly Csiszár, Gábor Csiszár, József Dombi, Olga Kosheleva, Vladik Kreinovich, and György Eigner
How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples, Julio Urenda, Olga Kosheleva, Martine Ceberio, and Vladik Kreinovich
How to Describe Measurement Errors: A Natural Generalization of the Central Limit Theorem Beyond Normal (and Other Infinitely Divisible) Distributions, Julio Urenda, Olga Kosheleva, and Vladik Kreinovich
Two Runners in the Time of Social Distancing, Speedboats in the Gulf of Finland: How to Best Pass?, Julio Urenda, Olga Kosheleva, and Vladik Kreinovich
Why Most Empirical Distributions Are Few-Modal, Julio Urenda, Olga Kosheleva, and Vladik Kreinovich
Why Number of Color Difference Works Better In Detecting Melanoma Than Number of Colors: A Possible Fractal-Based Explanation, Julio Urenda, Olga Kosheleva, and Vladik Kreinovich