Results 241 to 250 of about 854,853 (332)
Multi-criteria decision making approach for solar energy implementation using N-cubic fuzzy interaction aggregation operators. [PDF]
Sci RepAl Shumrani MA, Gulistan M, Abbas T.
europepmc +1 more source
Analysis of anti-cancer treatment therapies based on TOPSIS method under fractional Diophantine fuzzy Muirhead mean operators. [PDF]
Sci RepQadir A +3 more
europepmc +1 more source
The m-polar fuzzy TOPSIS hybrid method for manufacturing decisions. [PDF]
Sci RepJagtap M, Karande P.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
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
+5 more sources
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
openaire +2 more sources
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
Artificial Intelligence for Smarter Power Systems: Fuzzy logic and neural networks, 2021
As the contributions to this section of HSM are not very numerous I have found it necessary to generate some news of my own. Besides informing you about coming events, I will also put forward some concerns regarding present attitudes towards the theory ...
Christer Carlsson
semanticscholar +1 more source
As the contributions to this section of HSM are not very numerous I have found it necessary to generate some news of my own. Besides informing you about coming events, I will also put forward some concerns regarding present attitudes towards the theory ...
Christer Carlsson
semanticscholar +1 more source
IEEE transactions on fuzzy systems, 2020
A novel risk analysis approach is developed by merging interval-valued fuzzy sets (IVFSs), improved Dempster–Shafer (D–S) evidence theory, and fuzzy Bayesian networks (BNs), acting as a systematic decision support approach for safety insurance for the ...
Yue Pan, Limao Zhang, Zhiwu Li, L. Ding
semanticscholar +1 more source
A novel risk analysis approach is developed by merging interval-valued fuzzy sets (IVFSs), improved Dempster–Shafer (D–S) evidence theory, and fuzzy Bayesian networks (BNs), acting as a systematic decision support approach for safety insurance for the ...
Yue Pan, Limao Zhang, Zhiwu Li, L. Ding
semanticscholar +1 more source