Technical Reports from 2013
Conservation of Energy Implies Conservation of Momentum: How We Can Explain Conservation of Momentum to Before-Calculus Students, Eric Freudenthal, Eric Hagedorn, and Olga Kosheleva
Algebraic Product is the Only t-Norm for Which Optimization Under Fuzzy Constraints is Scale-Invariant, Juan Carlos Figueroa Garcia, Martine Ceberio, and Vladik Kreinovich
Minimization of Average Sensitivity as a Method of Selecting Fuzzy Functions and Operations: Successes and Limitations, Riya George, Suresh Subramanian, Alejandro Vega, and Olga Kosheleva
Processing Quantities with Heavy-Tailed Distribution of Measurement Uncertainty: How to Estimate the Tails of the Results of Data Processing, Michal Holčapek and Vladik Kreinovich
Necessary and Sufficient Conditions for Generalized Uniform Fuzzy Partitions, Michal Holčapek, Irina Perfilieva, Vilém Novák, and Vladik Kreinovich
Estimating Third Central Moment C3 for Privacy Case under Interval and Fuzzy Uncertainty, Ali Jalal-Kamali and Vladik Kreinovich
Solving Interval Linear Systems Is NP-Hard Even When All Inputs Are Known With the Same Accuracy, Ralph Kelsey and Vladik Kreinovich
Security Games with Interval Uncertainty, Christopher Kiekintveld, Towhidul Islam, and Vladik Kreinovich
Peak-End Rule: A Utility-Based Explanation, Olga Kosheleva, Martine Ceberio, and Vladik Kreinovich
Approximate Nature of Traditional Fuzzy Methodology Naturally Leads to Complex-Valued Fuzzy Degrees, Olga Kosheleva and Vladik Kreinovich
Brans-Dicke Scalar-Tensor Theory of Gravitation May Explain Time Asymmetry of Physical Processes, Olga Kosheleva and Vladik Kreinovich
Dialect or a New Language: A Possible Explanation of the 70% Mutual Intelligibility Threshold, Olga Kosheleva and Vladik Kreinovich
Finding the Best Function: A Way to Explain Calculus of Variations to Engineering and Science Students, Olga Kosheleva and Vladik Kreinovich
For Describing Uncertainty, Ellipsoids Are Better than Generic Polyhedra and Probably Better than Boxes: A Remark, Olga Kosheleva and Vladik Kreinovich
How to Explain (and Overcome) 2% Barrier in Teaching Computer Science: Fuzzy Ideas Can Help, Olga Kosheleva and Vladik Kreinovich
Perception of Elite and Universal Systems of Higher Education: An Explanation of the Empirical Thresholds, Olga Kosheleva and Vladik Kreinovich
Space-Time Assumptions Behind NP-Hardness of Propositional Satisfiability, Olga Kosheleva and Vladik Kreinovich
Stochastic Causality Is Inconsistent with the Lorentz Group, Olga Kosheleva and Vladik Kreinovich
Use of Grothendieck Inequality in Interval Computations: Quadratic Terms are Estimated Accurately Modulo a Constant Factor, Olga Kosheleva and Vladik Kreinovich
Why 20? Why 40? A Possible Explanation of a Special Role of 20 and 40 in Traditional Number Systems, Olga Kosheleva and Vladik Kreinovich
Why in Mayan Mathematics, Zero and Infinity Are the Same: A Possible Explanation, Olga Kosheleva and Vladik Kreinovich
Why Rozenzweig-Style Midrashic Approach Makes Rational Sense: A Logical (Spinoza-Like) Explanation Of A Seemingly Non-Logical Approach, Olga Kosheleva and Vladik Kreinovich
Computing with Words: Towards a New Tuple-Based Formalization, Olga Kosheleva, Vladik Kreinovich, Ariel Garcia, Felipe Jovel, Luis A. Torres Escobedo, and Thavatchai Ngamsantivong
Fuzzy Sets Can Be Interpreted as Limits of Crisp Sets, and This Can Help to Fuzzify Crisp Notions, Olga Kosheleva, Vladik Kreinovich, and Thavatchai Ngamsantivong
Why Complex-Valued Fuzzy? Why Complex Values in General? A Computational Explanation, Olga Kosheleva, Vladik Kreinovich, and Thavatchai Ngamsantivong