Results 21 to 30 of about 29,059 (263)
Decision-Making Approach with Fuzzy Type-2 Soft Graphs
Journal of Mathematics, 2020 Molodtsov’s theory of soft sets is free from the parameterizations insufficiency of fuzzy set theory. Type-2 soft set as an extension of a soft set has an essential mathematical structure to deal with parametrizations and their primary relationship ...
Sundas Shahzadi +2 more
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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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Austrian Journal of Statistics, 2016 After introducing and developing fuzzy set theory, a lot of studies have been done to combine statistical methods and fuzzy set theory. Thisworks, called fuzzy statistics, have been developed in some branches. In this article we review essential works on
S. Mahmoud Taheri
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Hesitant Fuzzy Concept Lattice and its Application
IEEE Access, 2020 The hesitant fuzzy set (HFS) can reflect the hesitation and uncertainty of decision-makers for the reason that it uses some possible values instead of a certain value. Considering that there is still no research on concept lattice or fuzzy formal concept
Xue Yang, Zeshui Xu
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The Parameter Reduction of Fuzzy Soft Sets Based on Soft Fuzzy Rough Sets
Advances in Fuzzy Systems, 2013 Fuzzy set theory, rough set theory, and soft set theory are three effective mathematical tools for dealing with uncertainties and have many wide applications both in theory and practise. Meng et al.
Zhiming Zhang
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AN IMPROVED METHODOLOGY FOR MULTI-CRITERIA EVALUATIONS IN THE SHIPPING INDUSTRY
Brodogradnja, 2016 This paper presents a reliable, easy and more objective approach for ranking and determining preference in a multi-criteria decision-making problem within the shipping industry.
Daniel Osezua Aikhuele +1 more
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Gradual Sets: An Approach to Fuzzy Sets
Advances in Fuzzy Systems, 2023 In the fuzzy theory of sets and groups, the use of α-levels is a standard to translate problems from the fuzzy to the crisp framework. Using strong α-levels, it is possible to establish a one to one correspondence which makes possible doubly, a gradual ...
Josefa M. García, Pascual Jara
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System Reliability Analysis Based On Weibull Distribution and Hesitant Fuzzy Set [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2018 This work deals with the hesitant fuzzy number and averaging operator and fuzzy reliability with the help of Weibull lifetime distribution. Fuzzy reliability function and triangular hesitant fuzzy number also computed with α-cut set of the proposed ...
Akshay Kumar, Mangey Ram
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Sensors International, 2022 Fuzzy theory is the optimal method for predicting the state of an entity in dynamic situations. The fuzzy theory incorporates different linguistic variables and membership functions for estimating the state of the entity through the enforcement of the ...
Subha R, Anandakumar H
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Demonstratio Mathematica, 1998 Probability theory is usually based on a probability space \((\Omega, {\mathcal A},P)\) where the sets \(A\in{\mathcal A}\), resp., the indicator functions \(I_A\), are interpreted as events and the measurable maps \(\widehat X: \Omega\to \mathbb{R}\), i.e., the random variables, as observable quantities.
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