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Fuzzy Set Theory

2015
This chapter aims to present the main concepts and mathematical notions of the fuzzy set theory (also called fuzzy logic or fuzzy logic theory) which are necessary for the understanding of this work. It also gives a non exhaustive overview of the application domains where the fuzziness has been successfully applied.
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Fuzzy-Set-Theorie

1999
Da die Fuzzy-Set-Theorie ein Instrument zur Abbildung der in Kapitel zwei dargestellten Imponderabilien und Unsicherheiten ist, werden nachfolgend sowohl die elementaren Grundla-gen als auch die auf ihnen basierenden und ftir die weitere Untersuchung relevanten Fuzzy-Algorithmen vorgestellt.
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Fuzzy Set Theory

1984
An extension of conventional set theory, with the grade of membership for an element in a set taking a value anywhere in the range [0,1], instead of 0 or 1 only. Developed as a means of avoiding the complexity in descriptions of subjective or ill-understood processes. Fuzzy logic extends the simple Boolean operators and can express Implication.
Alan Bundy, Lincoln Wallen
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Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions

Applied Soft Computing Journal, 2021
Tianrui Li, Hongmei Chen, Zhong Yuan
exaly  

Fuzzy set and possibility theory

Proceedings of the IEEE, 1985
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A Generalized Fuzzy-Set Theory

IEEE Transactions on Systems, Man, and Cybernetics, 1978
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Three-Way Group Conflict Analysis Based on Pythagorean Fuzzy Set Theory

IEEE Transactions on Fuzzy Systems, 2020
Hamido Fujita   +2 more
exaly  

Improved Fuzzy Bayesian Network-Based Risk Analysis With Interval-Valued Fuzzy Sets and D–S Evidence Theory

IEEE Transactions on Fuzzy Systems, 2020
Yue Pan, Limao Zhang, Lieyun Ding
exaly  

Interval analysis and fuzzy set theory

Fuzzy Sets and Systems, 2003
Weldon Lodwick
exaly  

The reduction and fusion of fuzzy covering systems based on the evidence theory

International Journal of Approximate Reasoning, 2012
Jusheng Mi, Tao Feng
exaly  

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