Results 161 to 170 of about 448 (201)

Group decision making with hesitant fuzzy linguistic preference relations

Information Sciences, 2020
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Zhang, Zhang Z., Chen, S.-M.
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Consistency Measures for Hesitant Fuzzy Linguistic Preference Relations

IEEE Transactions on Fuzzy Systems, 2014
Hesitant fuzzy linguistic term sets (HFLTSs) are used to deal with situations in which the decision makers (DMs) think of several possible linguistic values or richer expressions than a single term for an indicator, alternative, variable, etc.
Bin Zhu 0017, Zeshui Xu
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The Ordinal Consistency of a Hesitant Fuzzy Preference Relation

Journal of Interconnection Networks
An efficient solution to the misleading solutions of decision-making problems is the study of consistency when the decision makers express their opinions by means of fuzzy preference relations. To elucidate the consistency of HFPRs, the S-ordinal consistency of HFPRs was proposed, and S-OCI was also proposed to evaluate the degree of consistency of a ...
Xue Feng, Shengling Geng, Banghe Han
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Decision making with multiplicative hesitant fuzzy linguistic preference relations

Neural Computing and Applications, 2017
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 defined on unbalanced scaled linguistic sets.
Jie Tang 0007, Fanyong Meng 0001
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Group Decision Making with Dual Hesitant Fuzzy Preference Relations

Cognitive Computation, 2016
Due to the complexity and uncertainty of socioeconomic environments and cognitive diversity of group members, the cognitive information over alternatives provided by a decision organization consisting of several experts is usually uncertain and hesitant.
Na Zhao 0007, Zeshui Xu, Fengjun Liu
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Consensus building for hesitant fuzzy preference relations with multiplicative consistency

Computers & Industrial Engineering, 2019
Abstract Considering that consensus is an essential part of a group decision-making process, this study focuses on building consensus for hesitant fuzzy preference relations (HFPRs) with multiplicative consistency. To achieve this goal, firstly, a new multiplicative consistency concept for the HFPR is proposed.
Jian Li 0014, Jian-qiang Wang 0001, Jun-hua Hu   +2 more
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Incomplete Hesitant Fuzzy Preference Relations in Group Decision Making

International Journal of Fuzzy Systems, 2016
In this article, incomplete hesitant fuzzy preference relations are under consideration. In order to estimate expressible missing preferences, a hesitant upper bound condition (hubc) is defined for decision makers presenting incomplete information. With the help of this condition, the estimated preference intensities lie inside the defined domain and ...
Asma Khalid, Ismat Beg
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Decision Making with Hesitant Fuzzy Preference Relation

2016
In the process of decision making, the decision maker may be more rational and suitable to express his/her preferences by comparing each pair of objects and constructs a preference relation.
Huchang Liao, Zeshui Xu
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A CVaR optimization method for priority of hesitant fuzzy preference relation with chance constraint

Journal of Intelligent & Fuzzy Systems, 2023
In this paper, we establish a chance constrained model for the priority of hesitant fuzzy preference relation based on the idea of statistical distribution for preference information as stochastic variables with unknown distribution. Inspired by the idea of conditional value-at-risk (CVaR) robust optimization, a deterministic convex reformulation is ...
Wang, Xindi, Xu, Zeshui, Qin, Yong
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A consensus process for hesitant fuzzy linguistic preference relations

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2015
The recently proposed hesitant fuzzy linguistic terms sets (HFLTSs) are utilized to represent the expert's subjective preferences in a linguistic preference relation and therefore a hesitant fuzzy linguistic preference relation (HFLPR) is constructed.
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