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Three-Way Group Conflict Analysis Based on Pythagorean Fuzzy Set Theory
IEEE transactions on fuzzy systems, 2020In some real-world situations, Pythagorean fuzzy sets are more powerful and effective than intuitionistic fuzzy sets to describe vague and uncertain information, and there are many Pythagorean fuzzy information systems for conflicts in which attitudes of
Guangming Lang, Duoqian Miao, H. Fujita
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Intuitionistic fuzzy sets and -fuzzy sets
Fuzzy Sets and Systems, 2000The definitions of the concepts of \(L\)-fuzzy sets, intuitionistic fuzzy sets (IFSs) [see \textit{K. Atanassov}, ibid. 20, 87--96 (1986; Zbl 0631.03040)] and intuitionistic \(L\)-fuzzy sets (IL-FSs) [see \textit{K. Atanassov} and \textit{S. Stoeva}, in: Cybernetics and systems research 2, Proc. 7th Eur.
Ying-Yu He, Guo-Jun Wang
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Linear Diophantine fuzzy set and its applications towards multi-attribute decision-making problems
Journal of Intelligent & Fuzzy Systems, 2019The prevailing concepts of intuitionistic fuzzy sets (IFSs), Pythagorean fuzzy sets (PFSs) and q-rung orthopair fuzzy sets (q-ROFSs) have numerous applications in various fields from real life.
M. Riaz, M. Hashmi
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Fuzzy sets and (fuzzy) random sets in Econometrics and Statistics
Econometrics and Statistics, 2023The research in the present manuscript has been partially supported by the Spanish Government through MINECO-18-MTM2017-89632-P Grant. Their finantial support is greatfully acknowledged.
Ana Colubi, Ana Belén Ramos-Guajardo
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ROUGH FUZZY SETS AND FUZZY ROUGH SETS*
International Journal of General Systems, 1990The notion of a rough set introduced by Pawlak has often been compared to that of a fuzzy set, sometimes with a view to prove that one is more general, or, more useful than the other. In this paper we argue that both notions aim to different purposes.
Dubois, Didier, Prade, Henri
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Active Incremental Feature Selection Using a Fuzzy-Rough-Set-Based Information Entropy
IEEE transactions on fuzzy systems, 2020Feature selection is a popular technique of preprocessing data. In order to deal with dynamic or large data, incremental feature selection has been developed, in which the features selected from existing data are integrated with those mined from both ...
Xiao Zhang +4 more
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2020
As we all know, there are so many papers and chapters about fuzzy sets, but the book that this chapter is one of its chapters must bring up this topic again. This chapter discusses and presents different types of fuzzy sets and their properties. It also contains the algebraic operators between the sets. © 2024 Elsevier Inc. All rights reserved.
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As we all know, there are so many papers and chapters about fuzzy sets, but the book that this chapter is one of its chapters must bring up this topic again. This chapter discusses and presents different types of fuzzy sets and their properties. It also contains the algebraic operators between the sets. © 2024 Elsevier Inc. All rights reserved.
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Fuzzy Sets and Systems, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vladimir Kuznetsov, Mark Burgin
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vladimir Kuznetsov, Mark Burgin
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A Fuzzy Set Corresponding to an Intuitionistic Fuzzy Set
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1998We propose a new approach to find a fuzzy set which corresponds to a given intuitionistic fuzzy set (Atanassov, 1986) in a certain sense. This will help extend a huge array of fuzzy properties, models, etc. available to the case of intuitionistic fuzzy sets.
Eulalia Szmidt, Janusz Kacprzyk
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