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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 21 1 Motivations Do Not Decrease Procrastination, So What Can We Do? Kosheleva, Olga; Kreinovich, Vladik; Servin, Christian In: Departmental Technical Reports (CS) (2022) BASE Show details 2 Why Menzerath's Law? Urenda, Julio; Kreinovich, Vladik In: Departmental Technical Reports (CS) (2022) BASE Show details 3 Just-In-Time Teaching Adds Motivation but Is Less Efficient Kreinovich, Vladik; Kosheleva, Olga; Servin, Christian In: Departmental Technical Reports (CS) (2020) BASE Show details 4 Lexicographic-Type Extension of Min-Max Logic Is Not Uniquely Determined Kosheleva, Olga; Kreinovich, Vladik In: Departmental Technical Reports (CS) (2020) BASE Show details 5 A Fully Lexicographic Extension of Min or Max Operation Cannot Be Associative Kosheleva, Olga; Kreinovich, Vladik In: Departmental Technical Reports (CS) (2020) BASE Show details 6 Why Bilingualism Helps Autistic Children Function: A Symmetry-Based Explanation Kosheleva, Olga; Kreinovich, Vladik In: Departmental Technical Reports (CS) (2019) BASE Show details 7 Emerging Bilinguals Future Teachers' Digital Behavior in Online Pre-Calculus Class: Mixed Methods Study Kosheleva, Olga; Viera, Julian, Jr.; Kreinovich, Vladik In: Departmental Technical Reports (CS) (2019) BASE Show details 8 Psychological Behavior of English Learners Utilizing a Cognitive Tutor in an Online Pre-Calculus Viera, Julian, Jr.; Kosheleva, Olga; Kreinovich, Vladik In: Departmental Technical Reports (CS) (2018) BASE Show details 9 Why Zipf's Law: A Symmetry-Based Explanation Cervantes, Daniel; Kosheleva, Olga; Kreinovich, Vladik In: Departmental Technical Reports (CS) (2018) BASE Show details 10 Bayesian Approach to Intelligent Control and Its Relation to Fuzzy Control Zhu, Kongliang; Kreinovich, Vladik; Kosheleva, Olga In: Departmental Technical Reports (CS) (2016) BASE Show details 11 Fuzzy Pareto Solution in Multi-criteria Group Decision Making with Intuitionistic Linguistic Preference Relation Cuong, Bui Cong; Kreinovich, Vladik; Son, Le Hoang... In: Departmental Technical Reports (CS) (2016) BASE Show details 12 From Numerical Probabilities to Linguistic Probabilities: A Theoretical Justification of Empirical Granules Used in Risk Management Rivera, Beverly; Zapata, Francisco; Kreinovich, Vladik In: Departmental Technical Reports (CS) (2014) BASE Show details 13 Computing with Words: Towards a New Tuple-Based Formalization Kosheleva, Olga; Kreinovich, Vladik; Garcia, Ariel... In: Departmental Technical Reports (CS) (2013) BASE Show details 14 Why 20? Why 40? A Possible Explanation of a Special Role of 20 and 40 in Traditional Number Systems Kosheleva, Olga; Kreinovich, Vladik In: Departmental Technical Reports (CS) (2013) BASE Show details 15 Dialect or a New Language: A Possible Explanation of the 70% Mutual Intelligibility Threshold Kosheleva, Olga; Kreinovich, Vladik In: Departmental Technical Reports (CS) (2013) BASE Show details 16 Ellipsoids and ellipsoid-shaped fuzzy sets as natural multi-variate generalization of intervals and fuzzy numbers: How to elicit them from users, and how to use them in data processing Kreinovich, Vladik; Beck, Jan; Nguyen, Hung T In: Information sciences. - New York, NY : Elsevier Science Inc. 177 (2007) 2, 388 OLC Linguistik Show details 17 Random Fuzzy Sets Nguyen, Hung T.; Kreinovich, Vladik; Xiang, Gang In: Departmental Technical Reports (CS) (2007) BASE Show details 18 Shadows Of Fuzzy Sets - a Natural Approach Towards Describing 2-D and Multi-D Fuzzy Uncertainty in Linguistic Terms Nguyen, Hung T.; Wu, Berlin; Kreinovich, Vladik In: Departmental Technical Reports (CS) (2000) Abstract: Fuzzy information processing systems start with expert knowledge which is usually formulated in terms of words from natural language. This knowledge is then usually reformulated in computer-friendly terms of membership functions, and the system transform these input membership functions into the membership functions which describe the result of fuzzy data processing. It is then desirable to translate this fuzzy information back from the computer-friendly membership functions language to the human-friendly natural language. In general, this is difficult even in a 1-D case, when we are interested in a single quantity y; however, the fuzzy research community has accumulated some expertise of describing the resulting 1-D membership functions by words from natural language. The problem becomes even more complicated in 2-D and multi-D cases, when we are interested in several quantities y1,.,ym, because there are fewer words which describe the relation between several quantities than words describing a single quantity. To reduce this more complicated multi-D problem to a simpler (although still difficult) 1-D case, L. Zadeh proposed, in 1966, to use words to describe fuzzy information about different combinations y=f(y1,.,ym) of the desired variables. This idea is similar to the use of marginal distributions in probability theory. The corresponding terms are called shadows of the original fuzzy set. The main question is: do we lose any information in this translation? Zadeh has shown that under certain conditions, the original fuzzy set can be uniquely reconstructed from its shadows. In this paper, we prove that for appropriately chosen shadows, the reconstruction is always unique. Thus, if we manage to describe the original membership function by linguistic terms which describe different combinations y, this description is lossless. Keyword: Computer Engineering URL: https://scholarworks.utep.edu/cs_techrep/576 https://scholarworks.utep.edu/cgi/viewcontent.cgi?article=1576&context=cs_techrep BASE Hide details 19 Fuzzy 'modus ponens' as a calculus of logical modifiers : towards Zadeh's vision of implication calculus Bouchon-Meunier, Bernadette; Kreinovich, Vladik In: Information sciences. - New York, NY : Elsevier Science Inc. 116 (1999) 2-4, 219-227 BLLDB Show details 20 Fuzzy modus ponens as a calculus of logical modifiers: Towards Zadeh's vision of implication calculus Bouchon-Meunier, Bernadette; Kreinovich, Vladik In: Information sciences. - New York, NY : Elsevier Science Inc. 116 (1999) 2-4, 219-228 OLC Linguistik Show details Page: 1 2

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