Score indices for hesitant fuzzy sets : generalized fuzzy integrals
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 Bipolar-Valued Fuzzy Soft Sets and Their Application in Decision Making
As an extension of fuzzy sets, hesitant bipolar-valued fuzzy set is a new mathematical tool for dealing with fuzzy problems, but it still has the problem with the inadequacy of the parametric tools.
Jin-Ying Wang, Yan-Ping Wang, Lei Liu
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Prioritised fuzzy constraint satisfaction problems: axioms, instantiation and validation [PDF]
This paper identifies a generic axiom framework for prioritised fuzzy constraint satisfaction problems (PFCSPs), and proposes methods to instantiate it (i.e., to construct specific schemes which obey the generic axiom framework).
Luo, X. +14 more
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Hesitant Fuzzy Soft Subalgebras and Ideals in BCK/BCI-Algebras
As a link between classical soft sets and hesitant fuzzy sets, the notion of hesitant fuzzy soft sets is introduced and applied to a decision making problem in the papers by Babitha and John (2013) and Wang et al. (2014).
Young Bae Jun +2 more
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Fuzzy Transforms for Hesitant, Soft or Intuitionistic Fuzzy Sets [PDF]
AbstractClassical F-transform for lattice-valued fuzzy sets can be defined using monadic relation in Zadeh’s monad or, equivalently, as a special semimodule homomorphism. In this paper, we use an analogical approach and by choosing suitable monads and semimodule homomorphisms, we define F-transform for hesitant, intuitionistic or fuzzy soft sets.
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Ranked hesitant fuzzy sets for multi-criteria multi-agent decisions [PDF]
This paper introduces and investigates ranked hesitant fuzzy sets, a novel extension of hesitant fuzzy sets that is less demanding than both probabilistic and proportional hesitant fuzzy sets.
Alcantud, José Carlos R. +1 more
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Hesitant Fuzzy Soft Set and Its Applications in Multicriteria Decision Making
Molodtsov’s soft set theory is a newly emerging mathematical tool to handle uncertainty. However, the classical soft sets are not appropriate to deal with imprecise and fuzzy parameters. This paper aims to extend the classical soft sets to hesitant fuzzy
Fuqiang Wang, Xihua Li, Xiaohong Chen
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Operations on Hesitant Linguistic terms sets Induced By Archimedean Triangular Norms And Conorms
The aim of the paper is to discuss some new operations on hesitant fuzzy linguistic terms sets based on Archimedean t-norm and t-conorm. The advantage is that the operations on hesitant fuzzy linguistic terms sets are closed, by studying propositions of ...
Zhaoyan Li, Chenfang Zhao, Zheng Pei
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Measuring Product Similarity with Hesitant Fuzzy Set for Recommendation
The processing of a sparse matrix is a hot topic in the recommendation system. This paper applies the method of hesitant fuzzy set to study the sparse matrix processing problem.
Chunsheng Cui, Jielu Li, Zhenchun Zang
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On Hesitant Fuzzy Clustering and Clustering of Hesitant Fuzzy Data
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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