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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

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Why It Is Important to Precisiate Goals
Olga Kosheleva, Vladik Kreinovich, and Hung T. Nguyen

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Why Some Families of Probability Distributions Are Practically Efficient: A Symmetry-Based Explanation
Vladik Kreinovich, Olga Kosheleva, Hung T. Nguyen, and Songsak Sriboonchitta

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Symbolic Aggregate ApproXimation (SAX) under Interval Uncertainty
Chrysostomos D. Stylios and Vladik Kreinovich

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When Can We Simplify Data Processing: An Algorithmic Answer
Julio Urenda, Olga Kosheleva, Vladik Kreinovich, and Berlin Wu

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Sometimes, It Is Beneficial to Process Different Types of Uncertainty Separately
Chrysostomos D. Stylios, Andrzej Pownuk, and Vladik Kreinovich

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Interview no. 201
Lorenzo Alarcon

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The Prospector, April 7, 2015
UTEP Student Publications

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The Prospector, April 14, 2015
UTEP Student Publications

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utepnews.com
University Communications

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University of Texas at El Paso

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University Communications

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University of Texas at El Paso

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University Communications

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University Communications

*Updated as of 04/18/15.