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:
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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