Technical Reports from 2024
Data Fusion Is More Complex Than Data Processing: A Proof, Robert Alvarez, Salvador Ruiz, Martine Ceberio, and Vladik Kreinovich
Paradox of Causality and Paradoxes of Set Theory, Alondra Baquier, Bradley Beltran, Gabriel Miki-Silva, Olga Kosheleva, and Vladik Kreinovich
Number Representation With Varying Number of Bits, Anuradha Choudhury, Md Ahsanul Haque, Saeefa Rubaiyet Nowmi, Ahmed Ann Noor Ryen, Sabrina Saika, and Vladik Kreinovich
Why Linear and Sigmoid Last Layers Work Better in Classification, Lehel Dénes-Fazakas, Lásló Szilágyi, and Vladik Kreinovich
How to Make a Decision under Interval Uncertainty If We Do Not Know the Utility Function, Jeffrey Escamilla and Vladik Kreinovich
Every Feasibly Computable Reals-to-Reals Function Is Feasibly Uniformly Continuous, Olga Kosheleva and Vladik Kreinovich
From Normal Distribution to What? How to Best Describe Distributions with Known Skewness, Olga Kosheleva and Vladik Kreinovich
Why Bernstein Polynomials: Yet Another Explanation, Olga Kosheleva and Vladik Kreinovich
Fuzzy Ideas Explain Fechner Law and Help Detect Relation Between Objects in Video, Olga Kosheleva, Vladik Kreinovich, and Ahnaf Farhan
McFadden's Discrete Choice and Softmax under Interval (and Other) Uncertainty: Revisited, Bartlomiej Jacek Kubica, Olga Kosheleva, and Vladik Kreinovich
There Is Still Plenty of Room at the Bottom: Feynman's Vision of Quantum Computing 65 Years Later, Alexis Lupo, Vladik Kreinovich, Victor L. Timchenko, and Yuriy P. Kondratenko
How to Fairly Allocate Safety Benefits of Self-Driving Cars, Fernando Munoz, Christian Servin, and Vladik Kreinovich
Why Pavement Cracks Are Mostly Longitudinal, Sometimes Transversal, and Rarely of Other Directions: A Geometric Explanation, Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, and Vladik Kreinovich
How Difficult Is It to Comprehend a Program That Has Significant Repetitions: Fuzzy-Related Explanations of Empirical Results, Christian Servin, Olga Kosheleva, and Vladik Kreinovich
Update From Aristotle to Newton, from Sets to Fuzzy Sets, and from Sigmoid to ReLU: What Do All These Transitions Have in Common?, Christian Servin, Olga Kosheleva, and Vladik Kreinovich
Why Two Fish Follow Each Other but Three Fish Form a School: A Symmetry-Based Explanation, Shahnaz Shahbazova, Olga Kosheleva, and Vladik Kreinovich
How to Gauge Inequality and Fairness: A Complete Description of All Decomposable Versions of Theil Index, Saeid Tizpaz-Niari, Olga Kosheleva, and Vladik Kreinovich
Somewhat Surprisingly, (Subjective) Fuzzy Technique Can Help to Better Combine Measurement Results and Expert Estimates into a Model with Guaranteed Accuracy: Digital Twins and Beyond, Niklas Winnewisser, Michael Beer, Olga Kosheleva, and Vladik Kreinovich
Using Known Relation Between Quantities to Make Measurements More Accurate and More Reliable, Niklas Winnewisser, Felix Mett, Michael Beer, Olga Kosheleva, and Vladik Kreinovich
From Quantifying and Propagating Uncertainty to Quantifying and Propagating Both Uncertainty and Reliability: Practice-Motivated Approach to Measurement Planning and Data Processing, Niklas R. Winnewisser, Vladik Kreinovich, and Olga Kosheleva
Technical Reports from 2023
How People Make Decisions Based on Prior Experience: Formulas of Instance-Based Learning Theory (ILBT) Follow from Scale Invariance, Palvi Aggarwal, Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich
How to Deal with Inconsistent Intervals: Utility-Based Approach Can Overcome the Limitations of the Purely Probability-Based Approach, Kittawit Autchariyapanitkul, Tomoe Entani, Olga Kosheleva, and Vladik Kreinovich
How to Estimate Unknown Unknowns: From Cosmic Light to Election Polls, Talha Azfar, Vignesh Ponraj, Vladik Kreinovich, and Nguyen Hoang Phuong
Why Sigmoid Transformation Helps Incorporate Logic Into Deep Learning: A Theoretical Explanation, Chitta Baral and Vladik Kreinovich
Every ReLU-Based Neural Network Can Be Described by a System of Takagi-Sugeno Fuzzy Rules: A Theorem, Barnabas Bede, Olga Kosheleva, and Vladik Kreinovich
Integrity First, Service Before Self, and Excellence: Core Values of US Air Force Naturally Follow from Decision Theory, Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich
Just-in-Accuracy: Mobile Approach to Uncertainty, Martine Ceberio, Christoph Q. Lauter, and Vladik Kreinovich
How to Make Decision Under Interval Uncertainty: Description of All Reasonable Partial Orders on the Set of All Intervals, Tiago M. Costa, Olga Kosheleva, and Vladik Kreinovich
Selecting the Most Adequate Fuzzy Operation for Explainable AI: Empirical Fact and Its Possible Theoretical Explanation, Orsolya Csiszar, Gábor Csiszar, Martine Ceberio, and Vladik Kreinovich
Why Fuzzy Control Is Often More Robust (and Smoother): A Theoretical Explanation, Orsolya Csiszar, Gábor Csiszar, Olga Kosheleva, Martine Ceberio, and Vladik Kreinovich
We Can Always Reduce a Non-Linear Dynamical System to Linear -- at Least Locally -- But Does It Help?, Orsolya Csiszar, Gábor Csiszar, Olga Kosheleva, Vladik Kreinovich, and Nguyen Hoang Phuong
Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation, Lehel Dénes-Fazakas, Lásló Szilágyi, György Eigner, Olga Kosheleva, Martine Ceberio, and Vladik Kreinovich
Why Bump Reward Function Works Well In Training Insulin Delivery Systems, Lehel Dénes-Fazakas, Lásló Szilágyi, Gyorgy Eigner, Olga Kosheleva, Vladik Kreinovich, and Nguyen Hoang Phuong
Algebraic Product Is the Only "And-Like"-Operation for Which Normalized Intersection Is Associative: A Proof, Thierry Denœx and Vladik Kreinovich
Conflict Situations Are Inevitable When There Are Many Participants: A Proof Based on the Analysis of Aumann-Shapley Value, Sofia Holguin and Vladik Kreinovich
Fuzzy Mathematics under Non-Minimal "And"-Operations (t-Norms): Equivalence leads to Metric, Order Leads to Kinematic Metric, Topology Leads to Area or Volume, Purbita Jana, Olga Kosheleva, and Vladik Kreinovich
Causality: Hypergraphs, Matter of Degree, Foundations of Cosmology, Cliff Joslyn, Andres Ortiz-Muñoz, Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, and Vladik Kreinovich
SUCCESS (Studying Underlying Characteristics of Computing and Engineering Student Success) Survey: Non-Cognitive and Affective Profiles in Engineering and Computing Students at UTEP (2018-2022), Sanga Kim, Christian Teran Lopez, Andres Segura, and Gabriel Miki
How to Efficiently Propagate P-Box Uncertainty, Olga Kosheleva and Vladik Kreinovich
If We Add Axiom of Choice to Constructive Analysis, We Get Classical Arithmetic: An Exercise in Reverse Constructive Mathematics, Olga Kosheleva and Vladik Kreinovich
Industry-Academia Collaboration: Main Challenges and What Can We Do, Olga Kosheleva and Vladik Kreinovich
Smooth Non-Additive Integrals and Measures and Their Potential Applications, Olga Kosheleva and Vladik Kreinovich
What Was More Frequently Used -- "And" or "Or": Based on Analysis of European Languages, Olga Kosheleva and Vladik Kreinovich
When Is a Single "And"-Condition Enough?, Olga Kosheleva and Vladik Kreinovich
Wormholes, Superfast Computations, and Selivanov's Theorem, Olga Kosheleva and Vladik Kreinovich
How to Select A Model If We Know Probabilities with Interval Uncertainty, Vladik Kreinovich
From Type-2 Fuzzy to Type-2 Intervals and Type-2 Probabilities, Vladik Kreinovich, Olga Kosheleva, and Luc Longpré
Which Random-Set Representation of a Fuzzy Set Is the Simplest?, Vladik Kreinovich, Olga Kosheleva, and Hung T. Nguyen
Uncertainty Quantification for Results of AI-Based Data Processing: Towards More Feasible Algorithms, Christoph Q. Lauter, Martine Ceberio, Vladik Kreinovich, and Olga Kosheleva
Approximate Stochastic Dominance Revisited, Chon Van Le, Olga Kosheleva, and Vladik Kreinovich