Fuzzy sets and systems: theory and applications

By Didier Dubois, Henri Prade. Mathematics in Science and Engineering, 2011

6,536 citations recorded by the source corpus.

Subfields: Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/7122e76d01ac6ecfdf7babe75865a008db0aa7a5

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In Management Science and Operations Research

Citations in the corpus

Monitoring Inequality among Social Groups: A Methodology Combining Fuzzy Set Theory and Principal Component Analysis1 (2008, neutral): “FST was introduced by Zadeh (1965), developed by Dubois and Prade (1980), and has been extensively used for multidimensional poverty analysis (cf. Lemmi and Betti 2006), since the important contributions of Cerioli and Zani (1990), and Cheli and Lemmi (1995).”
Fuzzy scheduling: Modelling flexible constraints vs. coping with incomplete knowledge (2003, background): “In the case, when some values appear more plausible than others, the natural extension of an interval is a fuzzy interval (Dubois and Prade, 1980, 1988; Dubois et al., 2000), that is, a possibility distribution representing more or less plausible values, viewed as a nested family of confidence…”
Two Stage Fuzzy Transportation Problem (2006, methodology): “Now, we present some necessary definition [ 2 ,3].”
Imprecise probabilities in engineering analyses (2013, neutral): “In this context, the min-max operator and the extension principle [33, 43] are used as the basis for the processing of fuzzy information.”
A GP-AHP method for solving group decision-making fuzzy AHP problems (2002, methodology): “As was already shown by many researchers [2–4,8,21,37–44], one suitable method for dealing with fuzzy AHP problems involving fuzzy, point, and interval ratings as well as some ratings without available information is the fuzzy LLSM.”
Hesitant fuzzy entropy and cross‐entropy and their use in multiattribute decision‐making (2012, methodology): “Since fuzzy set was introduced by Zadeh, 3 several extensions have been developed including interval-valued fuzzy set, intuitionistic fuzzy set, Type-2 fuzzy set, 44 , 45 and so on.”
Group decision making process for supplier selection with VIKOR under fuzzy environment (2010, background): “In the following, for the purpose of reference, some important definitions and notations of fuzzy sets theory from (Kaufmann & Gupta, 1991; Dubois & Prade, 1980; Zadeh, 1975; Chena et al., 2006) will be reviewed.”
Linear programming approach to solve interval-valued matrix games (2011, background): “It began in the 1920s and has achieved a great success [1–5].”
Hesitant fuzzy power aggregation operators and their application to multiple attribute group decision making (2013, background): “Several classical extensions of the concept have been developed, including the interval-valued fuzzy set [37,64], intuitionistic fuzzy set [2,3,23,25], intervalvalued intuitionistic fuzzy set [4,22,41], linguistic fuzzy set [46,48], type-2 fuzzy set [5,10,12–14,30,66], type-n fuzzy set [10], and fuz”
An Extension of the Electre I Method for Group Decision-Making Under a Fuzzy Environment (2011, methodology): “In this section, some basic definitions of fuzzy sets and the Electre I method are reviewed [7,71,93,94].”