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An investigation of strong edge geodesic number on m-polar fuzzy environment and its application. [PDF]
Mahapatra T, Bonyah E, Pal M.
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Prominence-guided link prediction in fuzzy robotic networks. [PDF]
Jeyakumar DJ +3 more
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Audio Deepfake Detection via a Fuzzy Dual-Path Time-Frequency Attention Network. [PDF]
Li J +6 more
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Hesitant Fuzzy Subalgebras, Ideals and Congruences on Autometrized Algebras. [PDF]
Tilahun GY.
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Applications of newly defined diamond Pythagorean fuzzy CODAS method via multi-criteria decision-making problems. [PDF]
Khan MB +4 more
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Assessment of Chinese local government disaster resilience based on the D-FAHP method. [PDF]
Yang Z, Chen G, Guo X.
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2018
This chapter reviews concepts from fuzzy set theory indispensable for the fuzzy extension of th e multi-criteria decision making methods based on pairwise comparison matrices. Trapezoidal and triangular fuzzy numbers and intervals, which are most often used for the fuzzy extension of pairwise comparison methods, are introduced here, and normalization ...
Ali Ebrahimnejad, José Luis Verdegay
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This chapter reviews concepts from fuzzy set theory indispensable for the fuzzy extension of th e multi-criteria decision making methods based on pairwise comparison matrices. Trapezoidal and triangular fuzzy numbers and intervals, which are most often used for the fuzzy extension of pairwise comparison methods, are introduced here, and normalization ...
Ali Ebrahimnejad, José Luis Verdegay
+5 more sources
Operations-Research-Spektrum, 1992
The term “fuzzy” was proposed by Zadeh in 1962 [273]. In 1965, Zadeh formally published the famous paper “Fuzzy Sets”[274]. The fuzzy set theory is developed to improve the oversimplified model, thereby developing a more robust and flexible model in order to solve real-world complex systems involving human aspects.
Young-Jou Lai, Ching-Lai Hwang
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The term “fuzzy” was proposed by Zadeh in 1962 [273]. In 1965, Zadeh formally published the famous paper “Fuzzy Sets”[274]. The fuzzy set theory is developed to improve the oversimplified model, thereby developing a more robust and flexible model in order to solve real-world complex systems involving human aspects.
Young-Jou Lai, Ching-Lai Hwang
openaire +2 more sources
2000
The theory of fuzzy sets was introduced in 1965 by Lotfi A. Zadeh as a generalization of the classical Cantorian set theory whose logical basis is the two-valued Boolean logic (compare also [Klaua 1965, 1967]). It was suggested in [Zadeh 1965] to use the minimum T M, the maximum S M, and the standard negation N S in order to model the intersection, the
Erich Peter Klement +2 more
+5 more sources
The theory of fuzzy sets was introduced in 1965 by Lotfi A. Zadeh as a generalization of the classical Cantorian set theory whose logical basis is the two-valued Boolean logic (compare also [Klaua 1965, 1967]). It was suggested in [Zadeh 1965] to use the minimum T M, the maximum S M, and the standard negation N S in order to model the intersection, the
Erich Peter Klement +2 more
+5 more sources

