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Published in 2019 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22133
Abstract: In this paper, we first introduce the concept of q‐rung orthopair hesitant fuzzy set ( q ‐ROHFS) and discuss the operational laws between any two q ‐ROHFSs. Then the distance measures between q ‐ROHFSs are…
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Keywords:
decision;
distance;
hesitant fuzzy;
orthopair hesitant ... See more keywords
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1
Published in 2020 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22239
Abstract: Recently, many researchers have studied some types of sets which are extension of fuzzy sets widely. Some of them are interval‐valued fuzzy set, intuitionistic fuzzy sets, type‐2 fuzzy sets, type‐n fuzzy sets, hesitant fuzzy sets…
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Keywords:
type hesitant;
hesitant fuzzy;
dual type;
fuzzy sets ... See more keywords
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Published in 2021 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22512
Abstract: Distance measure is an essential tool to characterize the difference between two samples. Recently, lots of distance measures have been proposed for hesitant fuzzy sets (HFSs). In this paper, we shall propose some novel distance…
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Keywords:
distance measure;
mahalanobis distance;
distance;
hesitant fuzzy ... See more keywords
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1
Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22624
Abstract: In this paper, we discussconsensus measures for typical hesitant fuzzy elements (THFE), which are the finite and nonempty fuzzy membership degrees under the scope of typical hesitant fuzzy sets (THFS). In our approach, we present…
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Keywords:
hesitant fuzzy;
consensus measures;
admissible total;
typical hesitant ... See more keywords
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Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22960
Abstract: A dual hesitant fuzzy set (DHFS) describes the uncertainty in the real world by using the membership degree and nonmembership degree. It can collect fuzzy information comprehensively and apply them into decision‐making tasks efficiently. In…
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Keywords:
medical diagnosis;
novel distance;
distance measures;
distance ... See more keywords
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1
Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-015-1882-3
Abstract: In this paper, we propose a general decision-making framework based on the HF rough set model over two universes. By a constructive approach, the HF rough set model over two universes is first presented and…
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Keywords:
fuzzy rough;
two universes;
hesitant fuzzy;
rough set ... See more keywords
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Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-018-3143-8
Abstract: Multi-criteria decision-making (MCDM) techniques have attracted more and more scholars attention for their potential of application in many areas of human action. Although several contributions exist regarding comparative analysis of MCDM techniques, most of them…
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Keywords:
decision making;
dominance vector;
vector hesitant;
hesitant fuzzy ... See more keywords
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Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3227-x
Abstract: This study introduces a new type of preference relations called multiplicative hesitant fuzzy linguistic preference relations (MHFLPRs) to denote the asymmetrically qualitative hesitancy information of decision makers. Unlike hesitant fuzzy linguistic preference relations, MHFLPRs are…
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Keywords:
decision;
fuzzy linguistic;
hesitant fuzzy;
preference relations ... See more keywords
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Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-04802-0
Abstract: Double hierarchy hesitant fuzzy linguistic term set (DHHFLTS) is one of the successful extensions of the hesitant fuzzy linguistic term set used for describing the uncertain information in a more prominent manner for solving the…
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Keywords:
decision;
information;
preference;
fuzzy linguistic ... See more keywords
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Published in 2017 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-017-0635-6
Abstract: The single-valued neutrosophic hesitant fuzzy set (SVNHFS) is a combination of single-valued neutrosophic set and hesitant fuzzy set that is designed for some incomplete, uncertain and inconsistent situations in which each element has a few…
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Keywords:
neutrosophic hesitant;
hesitant fuzzy;
valued neutrosophic;
single valued ... See more keywords
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Published in 2021 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-020-00928-y
Abstract: Single-valued neutrosophic hesitant fuzzy elements (SVNHFEs) can be used to characterize incomplete, uncertain and inconsistent information effectively, which result in great significance of the aggregation of SVNHFEs. However, some existing aggregation operators for SVNHFEs may…
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Keywords:
neutrosophic hesitant;
aggregation;
aggregation operators;
hesitant fuzzy ... See more keywords