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Score indices for hesitant fuzzy sets : generalized fuzzy integrals [PDF]
, 2022 There are several extensions of fuzzy sets in the literature. While the original definition by Zadeh defined membership of an element to a set by means of a value in the [0,1] interval, extensions replace this value in [0,1] by a more general ...
Torra, Vicenç,, Narukawa, Yasuo,
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Hesitant Fuzzy Variable and Distribution [PDF]
, 2022 In recent decades, the hesitant fuzzy set theory has been used as a main tool to describe the hesitant fuzzy phenomenon, which usually exists in multiple attributes of decision making.
Guofang Zhang, Guoqiang Yuan
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An score index for hesitant fuzzy sets based on the Choquet integral [PDF]
, 2021 In a previous paper we introduced hesitant fuzzy sets. A typical hesitant fuzzy set (HFS) assigns a finite set of membership values to each element. Because of that, in general, the comparison of the membership of different elements to the same set does ...
Narukawa, Yasuo +3 more
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Foundational theories of hesitant fuzzy sets and families of hesitant fuzzy sets
, 2023 Hesitant fuzzy sets find extensive application in specific scenarios involving uncertainty and hesitation. In the context of set theory, the concept of inclusion relationship holds significant importance as a fundamental definition. Consequently, as a type of sets, hesitant fuzzy sets necessitate a clear and explicit definition of the inclusion ...
Lu, Shizhan +4 more
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Generalized Ideals of BCK/BCI-Algebras Based on MQHF Soft Set with Application in Decision Making
Journal of Mathematics, 2023 The purpose of this study is to generalize the concept of Q-hesitant fuzzy sets and soft set theory to Q-hesitant fuzzy soft sets. The Q-hesitant fuzzy set is an admirable hybrid property, specially developed by the new generalized hybrid structure of ...
Maryam Abdullah Alshayea +1 more
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On Hesitant Fuzzy Clustering and Clustering of Hesitant Fuzzy Data [PDF]
, 2017 Since the notion of hesitant fuzzy set was introduced, some clustering algorithms have been proposed to cluster hesitant fuzzy data. Beside of hesitation in data, there is some hesitation in the clustering (classification) of a crisp data set.
Esfandiar Eslami +5 more
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A Hesitant Soft Fuzzy Rough Set and its Applications
IEEE Access, 2019 The difficulty of establishing a common membership degree is not because there is a margin of error or some possibility distribution values, but because there is a set of possible values.
Ting Xie, Zengtai Gong
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Probability of Hesitant Fuzzy Event and Hesitant Fuzzy Probability Reasoning Method [PDF]
Jisuanji gongcheng, 2018 In order to quantify the uncertainty of the occurrence of hesitant fuzzy event in random experiment,the probability of hesitant fuzzy event is defined combining fuzzy probability theory and hesitant fuzzy set theory.The definition of conditional ...
LI Jiang,YUAN Xiujiu,ZHAO Xuejun
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Fermatean Hesitant Fuzzy Sets for Multiple Criteria Decision-Making with Applications
Fuzzy Information and Engineering, 2023 The Fermatean hesitant fuzzy set idea obtained by combining Fermatean fuzzy sets and hesitant fuzzy sets can be used in practice to simplify the solution of complicated multi-criteria decision-making problems.
Murat Kirişci
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Fuzzy Reliability Based on Hesitant and Dual Hesitant Fuzzy Set Evaluation [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2021 In this study, we calculate hesitant and dual hesitant fuzzy reliability of linear and circular consecutive 2-out-of-4:G system from reliability function and Weibull distribution.
Akshay Kumar +3 more
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