Technical Reports from 2019
Global Independence, Possible Local Dependence: Towards More Realistic Error Estimates for Indirect Measurements, Vladik Kreinovich
In Alsina et al. Derivation of Min-Max Fuzzy Logic from Distributivity, All Conditions Are Necessary: A Proof, Vladik Kreinovich, Ildar Batyrshin, and Nailya Kubysheva
How to Use Quantum Computing to Check Which Inputs Are Relevant: A Proof That Deutsch-Jozsa Algorithm Is, In Effect, the Only Possibility, Vladik Kreinovich, Martine Ceberio, and Ricardo Alvarez
Deep Learning (Partly) Demystified, Vladik Kreinovich and Olga Kosheleva
Geometric Reformulation of Learning Models Can Help Prepare Better Teachers, Vladik Kreinovich and Olga Kosheleva
Joule's 19th Century Energy Conservation Meta-Law and the 20th Century Physics (Quantum Mechanics and General Relativity): 21st Century Analysis, Vladik Kreinovich and Olga Kosheleva
Optimization under Uncertainty Explains Empirical Success of Deep Learning Heuristics, Vladik Kreinovich and Olga Kosheleva
Why h-Index, Vladik Kreinovich, Olga Kosheleva, and Nguyen Hoang Phuong
How to Reconcile Maximum Entropy Approach with Intuition: e.g., Should Interval Uncertainty Be Represented by a Uniform Distribution, Vladik Kreinovich, Olga Kosheleva, and Songsak Sriboonchitta
Why Fuzzy Partition in F-Transform?, Vladik Kreinovich, Olga Kosheleva, and Songsak Sriboonchitta
Use of Symmetries in Economics: An Overview, Vladik Kreinovich, Olga Kosheleva, Nguyen N. Thach, and Nguyen Duc Trung
How to Make a Decision Based on the Minimum Bayes Factor (MBF): Explanation of the Jeffreys Scale, Vladik Kreinovich, Olga Kosheleva, and Nguyen Duc Trung
Computing Without Computing: DNA Version, Vladik Kreinovich and Julio C. Urenda
Softmax and McFadden's Discrete Choice under Interval (and Other) Uncertainty, Bartłomiej Jacek Kubica, Laxman Bokati, Olga Kosheleva, and Vladik Kreinovich
Perfect Reproducibility Is Not Always Algorithmically Possible: A Pedagogical Observation, Jake Lasley, Salamah Salamah, and Vladik Kreinovich
How to Gauge a Combination of Uncertainties of Different Type: General Foundations, Ingo Neumann, Vladik Kreinovich, and Thach N. Nguyen
Calibration Helps Reduce Disagreement Between Different Pavement Condition Indices, Edgar Daniel Rodriguez Velasquez, Carlos M. Chang Albitres, and Vladik Kreinovich
How to Estimate Pavement Roughness: Beyond International Roughness Index, Edgar Daniel Rodriguez Velasquez, Carlos M. Chang Albitres, and Vladik Kreinovich
Towards a Theoretical Explanation of How Pavement Condition Index Deteriorates over Time, Edgar Daniel Rodriguez Velasquez, Carlos M. Chang Albitres, and Vladik Kreinovich
Relationship Between Measurement Results and Expert Estimates of Cumulative Quantities, on the Example of Pavement Roughness, Edgar Daniel Rodriguez Velasquez, Carlos M. Chang Albitres, and Vladik Kreinovich
Accuracy of Data Fusion: Interval (and Fuzzy) Case, Christian Servin, Olga Kosheleva, and Vladik Kreinovich
How to Fuse Expert Knowledge: Not Always "And" but a Fuzzy Combination of "And" and "Or", Christian Servin, Olga Kosheleva, and Vladik Kreinovich
How to Define "and"- and "or"-Operations for Intuitionistic and Picture Fuzzy Sets, Christian Servin, Reynaldo Martinez, Peter Hanson, Leonel Lopez, and Vladik Kreinovich
Hierarchial Multiclass Classification Works Better Than Direct Classification: An Explanation of the Empirical Fact, Julio Urenda, Nancy Avila, Nelly Gordillo, and Vladik Kreinovich