Results 21 to 30 of about 322,229 (285)
A study on fundamentals of refined intuitionistic fuzzy set with some properties [PDF]
Journal of Fuzzy Extension and Applications, 2020 Zadeh conceptualized the theory of fuzzy set to provide a tool for the basis of the theory of possibility. Atanassov extended this theory with the introduction of intuitionistic fuzzy set.
Atiqe Rahman +5 more
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Fuzzy ART: Fast Stable Learning and Categorization of Analog Patterns by an Adaptive Resonance System [PDF]
, 1991 A Fuzzy ART model capable of rapid stable learning of recognition categories in response to arbitrary sequences of analog or binary input patterns is described.
Carpenter, Gail +2 more
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A quantum theoretical explanation for probability judgment errors [PDF]
, 2011 A quantum probability model is introduced and used to explain human probability judgment errors including the conjunction, disjunction, inverse, and conditional fallacies, as well as unpacking effects and partitioning effects.
Busemeyer, J. R. +4 more
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The Parameter Reduction of Fuzzy Soft Sets Based on Soft Fuzzy Rough Sets
Advances in Fuzzy Systems, 2013 Fuzzy set theory, rough set theory, and soft set theory are three effective mathematical tools for dealing with uncertainties and have many wide applications both in theory and practise. Meng et al.
Zhiming Zhang
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Effective Fuzzy Soft Set Theory and Its Applications
Applied Computational Intelligence and Soft Computing, 2022 Fuzzy soft set is the most powerful and effective extension of soft sets which deals with parameterized values of the alternative. It is an extended model of soft set and a new mathematical tool that has great advantages in dealing with uncertain ...
Shawkat Alkhazaleh
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An information-based approach to handle various types of uncertainty in fuzzy bodies of evidence.
PLoS ONE, 2020 Fuzzy evidence theory, or fuzzy Dempster-Shafer Theory captures all three types of uncertainty, i.e. fuzziness, non-specificity, and conflict, which are usually contained in a piece of information within one framework.
Atiye Sarabi-Jamab, Babak N Araabi
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A Brief Analysis and Interpretation on Arithmetic Operations of Fuzzy Numbers
Results in Control and Optimization, 2023 Fuzzy set theory is a generalized form of crisp set theory where elements are binary inclusion forms. In fuzzy set, it differs with degree of membership for every element in the set. There are several strategies for arithmetic operations on fuzzy numbers.
Asesh Kumar Mukherjee +4 more
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Three-Way Fuzzy Sets and Their Applications (II)
Axioms, 2022 Recently, the notion of a three-way fuzzy set is presented, inspired by the basic ideas of three-way decision and various generalized fuzzy sets, including lattice-valued fuzzy sets, partial fuzzy sets, intuitionistic fuzzy sets, etc.
Jingqian Wang +2 more
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Austrian Journal of Statistics, 2016 After introducing and developing fuzzy set theory, a lot of studies have been done to combine statistical methods and fuzzy set theory. Thisworks, called fuzzy statistics, have been developed in some branches. In this article we review essential works on
S. Mahmoud Taheri
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Quantification of temporal fault trees based on fuzzy set theory [PDF]
, 2014 © Springer International Publishing Switzerland 2014. Fault tree analysis (FTA) has been modified in different ways to make it capable of performing quantitative and qualitative safety analysis with temporal gates, thereby overcoming its limitation in ...
E. Edifor +14 more
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