Results 11 to 20 of about 448 (201)

The Stably Multiplicative Consistency of Fuzzy Preference Relation and Interval-Valued Hesitant Fuzzy Preference Relation [PDF]

IEEE Access, 2019
Preference relations are generally used to cope with multi-attribute group decision making (MAGDM), which express the experts’ preference information through pairwise comparisons.
Yuling Zhai, Zeshui Xu, Huchang Liao
doaj   +2 more sources

Probability-hesitant fuzzy sets and the representation of preference relations

Technological and Economic Development of Economy, 2018
Probability interpretations play an important role in understanding decision makers’ (DMs) behaviour in decision making. In this paper, we extend hesitant fuzzy sets to probability-hesitant fuzzy sets (P-HFSs) to enhance their modeling ability by taking ...
Bin Zhu, Zeshui Xu
doaj   +3 more sources

Regression methods for hesitant fuzzy preference relations

Technological and Economic Development of Economy, 2014
In this paper, we develop two regression methods that transform hesitant fuzzy preference relations (HFPRs) into fuzzy preference relations (FPRs). On the basis of the complete consistency, reduced FPRs with the highest consistency levels can be derived ...
Bin Zhu, Zeshui Xu
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Multiobjective Programming Approaches to Obtain the Priority Vectors under Uncertain Probabilistic Dual Hesitant Fuzzy Preference Environment

International Journal of Computational Intelligence Systems, 2021
This paper develops uncertain probabilistic dual hesitant fuzzy numbers (UPDHFN), which includes six types of dual hesitant fuzzy sets (DHFNs). Next, the UPDHFN is applied to the uncertain probabilistic dual hesitant fuzzy preference relation (UPDHFPR ...
Songtao Shao, Xiaohong Zhang
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FMEA Assessment Under Heterogeneous Hesitant Fuzzy Preference Relations: Based on Extended Multiplicative Consistency and Group Decision Making

IEEE Access, 2023
Failure mode and effects analysis (FMEA) is a reliability analysis method that analysis all possible failure modes for each product in a system and all possible effects of failure modes on the system, to classify each failure mode and to propose ...
Zihui Liu, Zheng Wei, Yanhong Fang
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Fusion of heterogeneous incomplete hesitant preference relations in group decision making

International Journal of Computational Intelligence Systems, 2016
In this paper, we focus on the fusion of heterogeneous incomplete hesitant preference relations (including hesitant fuzzy preference relations and hesitant multiplicative preference relations) under group decision making settings.
Zhen Zhang, Chonghui Guo
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Decision framework of group consensus with hesitant fuzzy linguistic preference relations [PDF]

CAAI Transactions on Intelligence Technology, 2020
Group decision making typically requires eliciting and coordinating the preferences of group members. In this study, the authors develop an overall framework of group consensus in context of hesitant fuzzy linguistic preference relations (HFLPRs). A new notion of distance measure between two HFLPRs is defined, based on which a consensual framework ...
Yang Lin, Ying-Ming Wang, Ying-Ming Wang
openaire   +2 more sources

Group Decision Making With Probabilistic Hesitant Multiplicative Preference Relations Based on Consistency and Consensus

IEEE Access, 2018
The probabilistic hesitant multiplicative preference relations (PHMPRs) can model the opinions of the decision makers for pairwise comparisons over alternatives using some possible values from Saaty's 1-9 scale with the probability information.
Mingwei Lin, Qianshan Zhan, Zeshui Xu, Riqing Chen   +3 more
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Revisiting Additive Consistency of Hesitant Fuzzy Linguistic Preference Relations

Symmetry, 2022
Consistency has always been a hot topic in the study of decision-making based on preference relations. This paper focuses on the consistency of hesitant fuzzy linguistic preference relations (HFLPRs). Firstly, a new definition of the additive consistency of HFLPRs is given.
Huimin Zhang, Yiyi Dai
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Missing values estimation and consensus building for incomplete hesitant fuzzy preference relations with multiplicative consistency

International Journal of Computational Intelligence Systems, 2018
This paper proposes a decision support process for incomplete hesitant fuzzy preference relations (HFPRs). First, we present a revised definition of HFPRs, in which the values are not ordered for the hesitant fuzzy element. Second, we propose a method to
Yejun Xu, Caiyun Li, Xiaowei Wen
doaj   +1 more source