CS Technical Reports

The file that you are reading contains the list of our 2019 reports. Links from this list lead to pdf files. Lists of reports from the previous years can be found by clicking on:

  • Decision Making Under Interval Uncertainty: Towards (Somewhat) More Convincing Justifications for Hurwicz Optimism-Pessimism Approach

    Warattaya Chinnakum, Laura Berrout Ramos, Olugbenga Iyiola, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-23 in pdf
  • Which Are the Correct Membership Functions? Correct "And"- and "Or"- Operations? Correct Defuzzification Procedure?

    Olga Kosheleva, Vladik Kreinovich, and Shahnaz Shahbazova

    link to abstract | UTEP-CS-20-22 in pdf
  • Theoretical Explanation of Recent Empirically Successful Code Quality Metrics

    Vladik Kreinovich, Omar A.~Masmali, Hoang Phuong Nguyen, and Omar Badreddin

    link to abstract | UTEP-CS-20-21 in pdf
  • How to Combine (Dis)Utilities of Different Aspects into a Single (Dis)Utility Value, and How This Is Related to Geometric Images of Happiness

    Laxman Bokati, Hoang Phuong Nguyen, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-20 in pdf
  • How to Describe Conditions Like 2-out-of-5 in Fuzzy Logic: a Neural Approach

    Olga Kosheleva, Vladik Kreinovich, and Hoang Phuong Nguyen

    link to abstract | UTEP-CS-20-19 in pdf
  • Quantum (and More General) Models of Research Collaboration

    Oscar Galindo, Miroslav Svitek, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-18 in pdf
  • Towards a Theoretical Explanation of How Pavement Condition Index Deteriorates over Time

    Edgar Daniel Rodriguez Velasquez and and Vladik Kreinovich

    link to abstract | UTEP-CS-20-17 in pdf
  • New (Simplified) Derivation of Nash's Bargaining Solution

    Hoang Phuong Nguyen, Laxman Bokati, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-16 in pdf
  • Towards Making Fuzzy Techniques More Adequate for Combining Knowledge of Several Experts

    Hoang Phuong Nguyen and Vladik Kreinovich

    link to abstract | UTEP-CS-20-15 in pdf
  • Why Mean, Variance, Moments, Correlation, Skewness etc. – Invariance-Based Explanations

    Olga Kosheleva, Laxman Bokati, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-14 in pdf
  • How Quantum Cryptography and Quantum Computing Can Make Cyber-Physical Systems More Secure

    Deepak Tosh, Oscar Galindo, Vladik Kreinovich, and Olga Kosheleva

    link to abstract | UTEP-CS-20-13 in pdf
  • Why Squashing Functions in Multi-Layer Neural Networks

    Julio C. Urenda, Orsolya Csiszar, Gabor Csiszar, Jozsef Dombi, Olga Kosheleva, Vladik Kreinovich, and Gyorgy Eigner

    link to abstract | UTEP-CS-20-12 in pdf
  • Predictably (Boundedly) Rational: Examples of Seemingly Irrational Behavior Can Be Quantitatively Explained by Bounded Rationality

    Laxman Bokati, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-11 in pdf
  • How to Gauge the Quality of a Testing Method When Ground Truth Is Known with Uncertainty

    Nicolas Gray, Scott Ferson, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-10 in pdf
  • Fusion of Probabilistic Knowledge as Foundation for Sliced-Normal Approach

    Michael Beer, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-09 in pdf
  • Strength of Lime Stabilized Pavement Materials: Possible Theoretical Explanation of Empirical Dependencies

    Edgar Daniel Rodriguez Velasquez and Vladik Kreinovich

    link to abstract | UTEP-CS-20-08 in pdf
  • Why Ellipsoids in Mechanical Analysis of Wood Structures

    F. Niklas Schietzold, Julio Urenda, Vladik Kreinovich, Wolfgang Graf, and Michael Kaliske

    link to abstract | UTEP-CS-20-07 in pdf
  • Can We Preserve Physically Meaningful "Macro" Analyticity without Requiring Physically Meaningless "Micro" Analyticity?

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-20-06 in pdf
  • Several Years of Practice May Not Be As Good as Comprehensive Training: Zipf's Law Explains Why

    Francisco Zapata, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-05 in pdf
  • A Mystery of Human Biological Development -- Can It Be Used to Speed up Computations?

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-20-04 in pdf
  • 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-Munoz

    link to abstract | UTEP-CS-20-03a in pdf
  • Physical Randomness Can Help in Computations

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-20-02 in pdf
  • Why Immediate Repetition Is Good for Short-Time Learning Results but Bad For Long-Time Learning: Explanation Based on Decision Theory

    Laxman Bokati, Julio Urenda, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-20-01 in pdf