Most Recent Additions
On Becoming a University Report on an Octennium
Joseph M. Ray
Using Known Relation Between Quantities to Make Measurements More Accurate and More Reliable
Niklas Winnewisser, Felix Mett, Michael Beer, Olga Kosheleva, and Vladik Kreinovich
How to Fairly Allocate Safety Benefits of Self-Driving Cars
Fernando Munoz, Christian Servin, and Vladik Kreinovich
Data Fusion Is More Complex Than Data Processing: A Proof
Robert Alvarez, Salvador Ruiz, Martine Ceberio, 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
Paradox of Causality and Paradoxes of Set Theory
Alondra Baquier, Bradley Beltran, Gabriel Miki-Silva, Olga Kosheleva, and Vladik Kreinovich
How to Make a Decision under Interval Uncertainty If We Do Not Know the Utility Function
Jeffrey Escamilla 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
Guide to MS555 Joseph Friedkin papers
Susannah Holliday
Borderplex Business Barometer, Volume 8, Number 3
Thomas M. Fullerton Jr. and Steven L. Fullerton
McFadden's Discrete Choice and Softmax under Interval (and Other) Uncertainty: Revisited
Bartlomiej Jacek Kubica, Olga Kosheleva, and Vladik Kreinovich
Why Bernstein Polynomials: Yet Another Explanation
Olga Kosheleva and Vladik Kreinovich
Why Linear and Sigmoid Last Layers Work Better in Classification
Lehel Dénes-Fazakas, Lásló Szilágyi, 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
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
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
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
*Updated as of 04/19/24.