Results 161 to 170 of about 84,089 (217)

Political conflict and institutional change in Latin America. A comparative analysis through fuzzy sets

, 2017
Gisselle De la Cruz Hermida, Rafael Enrique Valenzuela Mendoza   +1 more
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Intuitionistic fuzzy sets and -fuzzy sets

Fuzzy Sets and Systems, 2000
The 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.
Wang, Guojun, He, Yingyu
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BOOLEAN FUZZY SETS

International Journal of Foundations of Computer Science, 2007
Extending the notion of context-free languages and equational sets, we use the approximation theory to define boolean subsets and boolean fuzzy subsets of an algebra. We establish some basic properties of boolean fuzzy sets.
Ésik, Zoltán, Kuich, Werner
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LT-fuzzy sets

Fuzzy Sets and Systems, 1992
Since A. Rosenfeld proposed the concept of fuzzy groups in 1971, fuzzy algebra forms a branch of fuzzy mathematics. The authors of this paper try to systematically study fuzzy subalgebras of a universal algebra, which is a kind of quite basic work including two parts of contents: one introduces some fundamental concepts such as \(T\)-fuzzy sets, \(LT\)-
Rasiowa, Helena, Nguyen Cat Ho
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Fuzzy Sets

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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Fuzzy Sets, Intuitionistic Fuzzy Sets

2017
In this chapter, we define four separations of generalized interval-valued intuitionistic fuzzy sets (GIVIFSs). In fact, all interval-valued Intuitionistic fuzzy sets (IVIFSs) are GIVIFSs but all GIVIFSs are not IVIFSs. Also, we studied some properties of the four separated subsets of GIVIFSs.
Monoranjan Bhowmik, Madhumangal Pal
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ROUGH FUZZY SETS AND FUZZY ROUGH SETS*

International Journal of General Systems, 1990
The 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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Non–fuzzy sets for intuitionistic fuzzy sets

Journal of Discrete Mathematical Sciences and Cryptography, 2018
AbstractWe examine an important paper of Gerstenkorn and Manko that was published in Fuzzy Sets and Systems. Their paper is the pioneer for correlation coefficient similarity measure. We point out several questionable results and then provide our improvement that will useful to develop theoretical structure for similarity measures under intuitionistic ...
Han-Wen Tuan, Henry Chung-Jen Chao
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Fuzzy sets, advanced fuzzy sets and hybrids

2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), 2017
Fuzzy Sets were proposed several years ago with various extensions in later years. Each extension has advantages over the fuzzy sets. Rough sets are used to handle incomplete information. Interval-valued fuzzy sets deal with uncertainty and vagueness.
Jyoti Shokeen, Chhavi Rana
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Balanced fuzzy sets☆

Information Sciences, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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