Technical Reports from 2015
Why Big-O and Little-O in Algorithm Complexity: A Pedagogical Remark, Olga Kosheleva and Vladik Kreinovich
Why It Is Healthy to Regularly Challenge Authority: An Algorithmic Explanation, Olga Kosheleva and Vladik Kreinovich
Why Political Scientists Are Wrong 15% of the Time, Olga Kosheleva and Vladik Kreinovich
Why Right-Brain Cultures Are More Flexible: A Possible Explanation of Yu. Manin's Observation, Olga Kosheleva and Vladik Kreinovich
Why the Range of a Robust Statistic Under Interval Uncertainty Is Often Easier to Compute, Olga Kosheleva and Vladik Kreinovich
Why We Need Extra Physical Dimensions: A Simple Geometric Explanation, Olga Kosheleva and Vladik Kreinovich
Why It Is Important to Precisiate Goals, Olga Kosheleva, Vladik Kreinovich, and Hung T. Nguyen
How to Take Into Account Student's Degree of Confidence When Grading Exams, Olga Kosheleva, Joe Lorkowski, Viannette Felix, and Vladik Kreinovich
Which Bio-Diversity Indices Are Most Adequate, Olga Kosheleva, Craig Tweedie, and Vladik Kreinovich
Decision Making under Interval (and More General) Uncertainty: Monetary vs. Utility Approaches, Vladik Kreinovich
Solving Equations (and Systems of Equations) Under Uncertainty: How Different Practical Problems Lead to Different Mathematical and Computational Formulations, Vladik Kreinovich
Standing on the Shoulders of the Giants: Why Constructive Mathematics, Probability Theory, Interval Mathematics, and Fuzzy Mathematics Are Important, Vladik Kreinovich
Fuzzy, Intuitionistic Fuzzy, What Next?, Vladik Kreinovich and Bui Cong Cuong
Optimizing Cloud Use under Interval Uncertainty, Vladik Kreinovich and Esthela Gallardo
Creative Discussions or Memorization? Maybe Both? (on the example of teaching Computer Science), Vladik Kreinovich and Olga Kosheleva
Paradox of Choice: A Possible Explanation, Vladik Kreinovich and Olga Kosheleva
Towards A Physics-Motivated Small-Velocities Approximation to General Relativity, Vladik Kreinovich and Olga Kosheleva
Towards Making Theory of Computation Course More Understandable and Relevant: Recursive Functions, For-Loops, and While-Loops, Vladik Kreinovich and Olga Kosheleva
What Is Computable? What Is Feasibly Computable? A Physicist's Viewpoint, Vladik Kreinovich and Olga Kosheleva
Why the Graph Isomorphism Problem Is Easier Than Propositional Satisfiability: A Possible Qualitative Explanation, Vladik Kreinovich and Olga Kosheleva
Wiener-Process-Type Evasive Aircraft Actions Are Indeed Optimal Against Anti-Aircraft Guns: Wiener's Data Revisited, Vladik Kreinovich and Olga Kosheleva
Across-the-Board Spending Cuts Are Very Inefficient: A Proof, Vladik Kreinovich, Olga Kosheleva, Hung T. Nguyen, and Songsak Sriboonchitta
Invariance Explains Multiplicative and Exponential Skedactic Functions, Vladik Kreinovich, Olga Kosheleva, Hung T. Nguyen, and Songsak Sriboonchitta
Why Some Families of Probability Distributions Are Practically Efficient: A Symmetry-Based Explanation, Vladik Kreinovich, Olga Kosheleva, Hung T. Nguyen, and Songsak Sriboonchitta
How To Take Into Account Model Inaccuracy When Estimating the Uncertainty Of the Result of Data Processing, Vladik Kreinovich, Olga Kosheleva, Andrzej Pownuk, and Rodrigo A. Romero
We Live in the Best of Possible Worlds: Leibniz's Insight Helps to Derive Equations of Modern Physics, Vladik Kreinovich and Guoqing Liu
Conditional Dimension in Metric Spaces: A Natural Metric-Space Counterpart of Kolmogorov-Complexity-Based Mutual Dimension, Vladik Kreinovich, Luc Longpre, and Olga Kosheleva
Modeling Extremal Events Is Not Easy: Why the Extreme Value Theorem Cannot Be As General As the Central Limit Theorem, Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, and Olga Kosheleva
Why Copulas?, Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, and Olga Kosheleva
Fuzzy (And Interval) Techniques In The Age Of Big Data: An Overview With Applications To Environmental Science, Geosciences, Engineering, And Medicine, Vladik Kreinovich and Rujira Ouncharoen
Combining Interval and Probabilistic Uncertainty: What Is Computable?, Vladik Kreinovich, Andrzej Pownuk, and Olga Kosheleva
Simple Linear Interpolation Explains All Usual Choices in Fuzzy Techniques: Membership Functions, t-Norms, t-Conorms, and Defuzzification, Vladik Kreinovich, Jonathan Quijas, Esthela Gallardo, Caio De Sa Lopes, Olga Kosheleva, and Shahnaz Shahbazova
How to Test Hypotheses When Exact Values are Replaced by Intervals to Protect Privacy: Case of t-Tests, Vladik Kreinovich and Christian Servin
Interval Methods for Data Fitting under Uncertainty: A Probabilistic Treatment, Vladik Kreinovich and Sergey P. Shary
Why Fuzzy Cognitive Maps Are Efficient, Vladik Kreinovich and Chrysostomos Stylios
When Should We Switch from Interval-Valued Fuzzy to Full Type-2 Fuzzy (e.g., Gaussian)?, Vladik Kreinovich and Chrysostomos D. Stylios
Student Autonomy Improves Learning: A Theoretical Justification of the Empirical Results, Octavio Lerma and Vladik Kreinovich
Testing a Power Law Model of Knowledge Propagation: Case Study of the Out of Eden Walk Project, Octavio Lerma, Leobardo Valera, Deana Pennington, and Vladik Kreinovich
Towards the Possibility of Objective Interval Uncertainty in Physics. II, Luc Longpre, Olga Kosheleva, and Vladik Kreinovich
How Success In A Task Depends On The Skills Level: Two Uncertainty-Based Justifications Of A Semi-Heuristic Rasch Model, Joe Lorkowski, Olga Kosheleva, and Vladik Kreinovich
How to Take Into Account a Student's Degree of Certainty When Evaluating the Test Results, Joe Lorkowski, Olga Kosheleva, and Vladik Kreinovich
How Design Quality Improves with Increasing Computational Abilities: General Formulas and Case Study of Aircraft Fuel Efficiency, Joe Lorkowski, Olga Kosheleva, Vladik Kreinovich, and Sergei Soloviev
Why Awe Makes People More Generous: Utility Theory Can Explain Recent Experiments, Joe Lorkowski and Vladik Kreinovich
In Engineering Classes, How to Assign Partial Credit: From Current Subjective Practice to Exact Formulas (Based on Computational Intelligence Ideas), Joe Lorkowski, Vladik Kreinovich, and Olga Kosheleva
Coming Up with a Good Question Is Not Easy: A Proof, Joe Lorkowski, Luc Longpre, Olga Kosheleva, and Salem Benferhat
Setting Up a Highly Configurable, Scalable Nimbus Cloud Test Bed Running on a MANET, Joshua McKee
Why ARMAX-GARCH Linear Models Successfully Describe Complex Nonlinear Phenomena: A Possible Explanation, Hung T. Nguyen, Vladik Kreinovich, Olga Kosheleva, and Songsak Sriboonchitta
Why Is Linear Quantile Regression Empirically Successful: A Possible Explanation, Hung T. Nguyen, Vladik Kreinovich, Olga Kosheleva, and Songsak Sriboonchitta
Why Linear (and Piecewise Linear) Models Often Successfully Describe Complex Non-Linear Economic and Financial Phenomena: A Fuzzy-Based Explanation, Hung T. Nguyen, Vladik Kreinovich, Olga Kosheleva, and Songsak Sriboonchitta
Why Sugeno lambda-Measures, Hung T. Nguyen, Vladik Kreinovich, Joe Lorkowski, and Saiful Abu