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Technical Reports from 2020

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Two Pens In a Pocket Must Be Different: A Nerd-Oriented Lesson From Statistics, Olga Kosheleva and Vladik Kreinovich

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What If Not All Interval-Valued Fuzzy Degrees Are Possible?, Olga Kosheleva and Vladik Kreinovich

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Which Algorithms Are Feasible and Which Are Not: Fuzzy Techniques Can Help in Formalizing the Notion of Feasibility, Olga Kosheleva and Vladik Kreinovich

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Why Cutting Trajectories Into Small Pieces Helps to Learn Dynamical Systems Better: A Seemingly Counterintuitive Empirical Result Explained, Olga Kosheleva and Vladik Kreinovich

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Why There Are Only Four Fundamental Forces: A Possible Explanation, Olga Kosheleva and Vladik Kreinovich

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Commonsense Explanations of Sparsity, Zipf Law, and Nash's Bargaining Solution, Olga Kosheleva, Vladik Kreinovich, and Kittawit Autchariyapanitkul

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Which Classes of Bi-Intervals Are Closed Under Addition?, Olga Kosheleva, Vladik Kreinovich, and Jonatan Contreras

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Decision Making Under Interval Uncertainty Revisited, Olga Kosheleva, Vladik Kreinovich, and Uyen Pham

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How to Describe Conditions Like 2-out-of-5 in Fuzzy Logic: a Neural Approach, Olga Kosheleva, Vladik Kreinovich, and Nguyen Hoang Phuong

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Optimization under Fuzzy Constraints: Need to Go Beyond Bellman-Zadeh Approach and How It Is Related to Skewed Distributions, Olga Kosheleva, Vladik Kreinovich, and Nguyen Hoang Phuong

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Which Are the Correct Membership Functions? Correct "And"- and "Or"- Operations? Correct Defuzzification Procedure?, Olga Kosheleva, Vladik Kreinovich, and Shahnaz Shahbazova

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Under Limited Resources, Lottery-Based Tutoring Is the Most Efficient, Olga Kosheleva, Christian Servin, and Vladik Kreinovich

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Reward for Good Performance Works Better Than Punishment for Mistakes: Economic Explanation, Olga Kosheleva, Julio Urenda, and Vladik Kreinovich

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Formal Concept Analysis Techniques Can Help in Intelligent Control, Deep Learning, etc., Vladik Kreinovich

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How Expert Knowledge Can Help Measurements: Three Case Studies, Vladik Kreinovich

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Neural Networks, Vladik Kreinovich

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White- and Black-Box Computing and Measurements under Limited Resources: Cloud, High Performance, and Quantum Computing, and Two Case Studies -- Robotic Boat and Hierarchical Covid Testing, Vladik Kreinovich, Martine Ceberio, and Olga Kosheleva

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Approximate Version of Interval Computation Is Still NP-Hard, Vladik Kreinovich and Olga Kosheleva

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How to Make Sure That Robot's Behavior Is Human-Like, Vladik Kreinovich, Olga Kosheleva, and Laxman Bokati

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Need for Simplicity and Everything Is a Matter of Degree: How Zadeh's Philosophy is Related to Kolmogorov Complexity, Quantum Physics, and Deep Learning, Vladik Kreinovich, Olga Kosheleva, and Andres Ortiz-Muñoz

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Theoretical Explanation of Recent Empirically Successful Code Quality Metrics, Vladik Kreinovich, Omar A. Masmali, Nguyen Hoang Phuong, and Omar Badreddin

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Why Geometric Progression in Selecting the LASSO Parameter: A Theoretical Explanation, William Kubin, Yi Xie, Laxman Bokati, Vladik Kreinovich, and Kittawit Autchariyapanitkul

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Why Linear Expressions in Discounting and in Empathy: A Symmetry-Based Explanation, Supanika Leurcharusmee, Laxman Bokati, and Olga Kosheleva

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How to Train A-to-B and B-to-A Neural Networks So That the Resulting Transformations Are (Almost) Exact Inverses, Paravee Maneejuk, Torben Peters, Claus Brenner, and Vladik Kreinovich

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How to Gauge the Quality of a Testing Method When Ground Truth Is Known with Uncertainty, Nicholas Gray, Scott Ferson, and Vladik Kreinovich