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Norms over Q-intuitionistic fuzzy subgroups of a group [PDF]
Notes on IFS, 2023 In this work, by using norms (t-norms and t-conorms), Q-intuitionistic fuzzy subgroups of a group are defined and investigated some of their properties and structured characteristics.
Rasul Rasuli
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Roughness in Fuzzy Cayley Graphs
Қарағанды университетінің хабаршысы. Математика сериясы, 2023 Rough set theory is a worth noticing approach for inexact and uncertain system modelling. When rough set theory accompanies with fuzzy set theory, which both are a complementary generalization of set theory, they will be attended by potency in ...
M.H. Shahzamanian, B. Davvaz
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Computer and fuzzy theory application: review in home appliances [PDF]
Journal of Fuzzy Extension and Applications, 2020 Clays have a tendency to this article first introduces the basic concepts of fuzzy theory, including comparisons between fuzzy sets and traditional explicit sets, fuzzy sets basic operations such as the membership function of the set and the colloquial ...
Tim Chen +3 more
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Decision Making in Fuzzy Rough Set Theory
Mathematics, 2023 Decision rules are powerful tools to manage information and to provide descriptions of data sets; as a consequence, they can acquire a useful role in decision-making processes where fuzzy rough set theory is applied.
Fernando Chacón-Gómez +2 more
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Vikalpa, 2020 Executive Summary In the contemporary time, the reliability of any product has become a big issue from the customer’s perspective due to exponentially mushrooming markets of electronics and digital gadgets.
Palash Dutta, Rupjit Saikia
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Evidence Theory in Picture Fuzzy Set Environment
Journal of Mathematics, 2021 Picture fuzzy set is the most widely used tool to handle the uncertainty with the account of three membership degrees, namely, positive, negative, and neutral such that their sum is bound up to 1.
Harish Garg +4 more
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Topology in the Alternative Set Theory and Rough Sets via Fuzzy Type Theory
Mathematics, 2020 In this paper, we will visit Rough Set Theory and the Alternative Set Theory (AST) and elaborate a few selected concepts of them using the means of higher-order fuzzy logic (this is usually called Fuzzy Type Theory).
Vilém Novák
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Fuzzy-rough set models and fuzzy-rough data reduction
Croatian Operational Research Review, 2020 Rough set theory is a powerful tool to analysis the information systems. Fuzzy rough set is introduced as a fuzzy generalization of rough sets. This paper reviewed the most important contributions to the rough set theory, fuzzy rough set theory and their
Hassan Mishmast Nehi +1 more
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Fuzzy logic and fuzzy set theory based edge detection algorithm [PDF]
Serbian Journal of Electrical Engineering, 2015 In this paper we will show a way how to detect edges in digital images. Edge detection is a fundamental part of many algorithms, both in image processing and in video processing.
Perić Nebojša
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Fuzzy Set Theory and Topos Theory [PDF]
Canadian Mathematical Bulletin, 1986 AbstractThe relation between the categories of Fuzzy Sets and that of Sheaves is explored and the precise connection between them is explicated. In particular, it is shown that if the notion of fuzzy sets is further fuzzified by making equality (as well as membership) fuzzy, the resultant categories are indeed toposes.
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