Results 281 to 290 of about 350,088 (334)
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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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Picture fuzzy sets and 3-fuzzy sets

2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2018
Picture fuzzy sets can be seen as particular "neutrosophic sets", without forming a sublattice. On the other hand, they can be isomorphically related to 3-fuzzy sets, and then they form a bounded lattice. We discuss some possible algebraic looks on picture fuzzy sets and related aggregation functions, including several examples.
Erich Peter Klement   +2 more
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Fuzzy Soft Set and Soft Fuzzy Set

2008 Fourth International Conference on Natural Computation, 2008
In this paper the concept of soft fuzzy set is given and an example is presented which testifies the existing significance of soft fuzzy set. Then some properties on soft fuzzy set are discussed. At last the relations of fuzzy soft sets and soft fuzzy sets are compared by instances.
Bing-xue Yao, Jin-liang Liu, Rui-xia Yan
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