Technical Reports from 2023
From Fuzzy to Mobile Fuzzy, Victor L. Timchenko, Yuriy P. Kondratenko, Olga Kosheleva, and Vladik Kreinovich
Towards a Psychologically Natural Relation Between Colors and Fuzzy Degrees, Victor L. Timchenko, Yuriy P. Kondratenko, Olga Kosheleva, Vladik Kreinovich, and Nguyen Hoang Phuong
Interval-Valued and Set-Valued Extensions of Discrete Fuzzy Logics, Belnap Logic, and Color Optical Computing, Victor L. Timchenko, Yury P. Kondratenko, and Vladik Kreinovich
Natural Color Interpretation of Interval-Valued Fuzzy Degrees, Victor L. Timchenko, Yury P. Kondratenko, Vladik Kreinovich, and Olga Kosheleva
Why Unit Two-Variable-Per-Inequality (UTVPI) Constraints Are So Efficient to Handle: Intuitive Explanation, Saeid Tizpaz-Niari, Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich
How to Best Retrain a Neural Network If We Added One More Input Variable, Saeid Tizpaz-Niari and Vladik Kreinovich
Fast -- Asymptotically Optimal -- Methods for Determining the Optimal Number of Features, Saied Tizpaz-Niari, Luc Longpré, Olga Kosheleva, and Vladik Kreinovich
Why Micro-Funding? Why Small Businesses Are Important? Analysis Based on First Principles, Hein D. Tran, Edwin Tomy George, and Vladik Kreinovich
Fuzzy Techniques Explain the Effectiveness of ReLU Activation Function in Deep Learning, Julio C. Urenda, Olga Kosheleva, and Vladik Kreinovich
Methodological Lesson of Pythagorean Triples, Julio C. Urenda, Olga Kosheleva, and Vladik Kreinovich
Why Deep Learning Is Under-Determined? Why Usual Numerical Methods for Solving Partial Differential Equations Do Not Preserve Energy? The Answers May Be Related to Chevalley-Warning Theorem (and Thus to Fermat Last Theorem), Julio C. Urenda, Olga Kosheleva, and Vladik Kreinovich
Logical Inference Inevitably Appears: Fuzzy-Based Explanation, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich, and Orsolya Csiszar
Giant Footprints of Buddha and Generalized Limits, Julio C. Urenda and Vladik Kreinovich
Topological Explanation of Why Complex Numbers Are Needed in Quantum Physics, Julio C. Urenda and Vladik Kreinovich
Usually, Either Left and Right Brains Are Equally Active or Only One of Them Is Active: First-Principles Explanation, Julio C. Urenda and Vladik Kreinovich
Why Attitudes Are Usually Mutual: A Possible Mathematical Explanation, Julio C. Urenda and Vladik Kreinovich
Why Gliding Symmetry Used to Be Prevalent in Biology But Practically Disappeared, Julio C. Urenda and Vladik Kreinovich
Low-Probability High-Impact Events Are Even More Important Than It Is Usually Assumed, Aaron Velasco, Olga Kosheleva, and Vladik Kreinovich
Why 6-Labels Uncertainty Scale in Geosciences: Probability-Based Explanation, Aaron Velasco, Julio C. Urenda, Olga Kosheleva, and Vladik Kreinovich
Dialogs Re-enacted Across Languages, Version 2, Nigel G. Ward, Jonathan E. Avila, Emilia Rivas, and Divette Marco
How to Propagate Interval (and Fuzzy) Uncertainty: Optimism-Pessimism Approach, Vinícius F. Wasques, Olga Kosheleva, and Vladik Kreinovich
People Prefer More Information About Uncertainty, But Perform Worse When Given This Information: An Explanation of the Paradoxical Phenomenon, Jieqiong Zhao, Olga Kosheleva, and Vladik Kreinovich
Technical Reports from 2022
How to Make Inflation Optimal and Fair, Sean Aguilar and Vladik Kreinovich
Why Best-Worst Method Works Well, Sean Aguilar and Vladik Kreinovich
Why Decision Paralysis, Sean Aguilar and Vladik Kreinovich
Why Seneca Effect?, Sean R. Aguilar and Vladik Kreinovich
Hunting Habits of Predatory Birds: Theoretical Explanation of an Empirical Formula, Adilene Alaniz, Jiovani Hernandez, Andres D. Munoz, and Vladik Kreinovich
Why Rectified Linear Unit is Efficient in Machine Learning: One More Explanation, Barnabas Bede, Vladik Kreinovich, and Uyen Pham
Why Constraint Interval Arithmetic Works Well: A Theorem Explains Empirical Success, Barnabas Bede, Marina Tuyako Mizukoshi, Weldon Lodwick, Martine Ceberio, and Vladik Kreinovich
How to elicit complex-valued fuzzy degrees, Laxman Bokati, Olga Kosheleva, and Vladik Kreinovich
Why Rarity Score Is a Good Evaluation of a Non-Fungible Token, Laxman Bokati, Olga Kosheleva, and Vladik Kreinovich
Why Quantiles Are a Good Description of Volatility in Economics: An Alternative Explanation, Laxman Bokati, Olga Kosheleva, Vladik Kreinovich, and Kittawit Autchariyapanitkul
Why Decreased Gaps Between Brain Cells Cause Severe Headaches: A Symmetry-Based Geometric Explanation, Laxman Bokati, Olga Kosheleva, Vladik Kreinovich, and Nguyen Hoang Phuong
Why Shapley Value and Its Variants Are Useful in Machine Learning (and in Other Applications), Laxman Bokati, Olga Kosheleva, Vladik Kreinovich, and Nguye Ngoc Thach
Why Exponential Almon Lag Works Well in Econometrics: An Invariance-Based Explanation, Laxman Bokati and Vladik Kreinovich
Why Micro-Size Objects Affect the Flow Much More than Larger Ones: A Geometric Explanations with Applications Ranging from Volcanoes and Tornadoes to Blood, Fish, and Building Preservation, Laxman Bokati and Vladik Kreinovich
Why Smaller-Size Objects Affect the Flow Much More than Larger Ones: A Geometric Explanation with Applications Ranging from Volcanoes and Tornadoes to Blood, Fish, and Building Preservation, Laxman Bokati and Vladik Kreinovich
Why Time Seems to Pass Slowly for Unpleasant Experiences and Quickly for Pleasant Experiences: An Explanation Based on Decision Theory, Laxman Bokati and Vladik Kreinovich
Why Rectified Power (RePU) Activation Functions Are Efficient in Deep Learning: A Theoretical Explanation, Laxman Bokati, Vladik Kreinovich, Joseph Baca, and Natasha Rovelli
A Possible Common Mechanism Behind Skew Normal Distributions in Economics and Hydraulic Fracturing-Induced Seismicity, Laxman Bokati, Aaron Velasco, Vladik Kreinovich, and Kittawit Autchariyapanitkul
How to Describe Relative Approximation Error? A New Justification for Gustafson's Logarithmic Expression, Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich
Towards Optimal Techniques Intermediate Between Interval and Affine, Affine and Taylor, Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich
Search Under Uncertainty Should be Randomized: A Lesson From the 2021 Nobel Prize in Medicine, Martine Ceberio and Vladik Kreinovich
Why Convex Combination Is an Effective Crossover Operation in Continuous Optimization: A Theoretical Explanation, Kelly Cohen, Olga Kosheleva, and Vladik Kreinovich
Computational Paradox of Deep Learning: A Qualitative Explanation, Jonatan Contreras, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich, and Nguyen Hoang Phuong
One More Physics-Based Explanation for Rectified Linear Neurons, Jonatan Contreras, Martine Ceberio, and Vladik Kreinovich
Anomaly Detection in Crowdsourcing: Why Midpoints in Interval-Valued Approach, Alejandra De La Pena, Damian L. Gallegos Espinoza, and Vladik Kreinovich
Why Optimization Is Faster than Solving Systems of Equations: A Qualitative Explanation, Siyu Deng, Bimal K. C, and Vladik Kreinovich
Word Representation: Theoretical Explanation of an Empirical Fact, Leonel Escapita, Diana Licon, Madison Anderson, Diego Pedraza, and Vladik Kreinovich
Estimating Skewness and Higher Central Moments of an Interval-Valued Fuzzy Set, Juan Carlos Figueroa-Garcia, Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich