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Hesitant Probabilistic Multiplicative Preference Relations in Group Decision Making [PDF]

open access: yesApplied Sciences, 2018
The preference of one alternative over another is a useful way to express the opinion of the decision-maker. In the process of group decision-making, preference relations are used in preference modeling of the alternatives under given criteria.
Zia Bashir   +4 more
doaj   +4 more sources

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

open access: yesIEEE 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   +4 more sources

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

open access: yesIEEE 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   +3 more
doaj   +4 more sources

Multiplicative Consistency Ascertaining, Inconsistency Repairing, and Weights Derivation of Hesitant Multiplicative Preference Relations [PDF]

open access: yesIEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022
National Natural Science Foundation of China (NSFC ...
Yejun Xu   +3 more
openaire   +4 more sources

Missing values estimation and consensus building for incomplete hesitant fuzzy preference relations with multiplicative consistency [PDF]

open access: yesInternational 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   +2 more sources

FMEA Assessment Under Heterogeneous Hesitant Fuzzy Preference Relations: Based on Extended Multiplicative Consistency and Group Decision Making

open access: yesIEEE 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
doaj   +2 more sources

Group Decision-Making Model With Hesitant Multiplicative Preference Relations Based on Regression Method and Feedback Mechanism

open access: yesIEEE Access, 2018
The hesitant multiplicative preference relation (HMPR) was initially put forward in 2013. Utilizing the HMPR, the decision makers can give some possible preference values from the Saaty's 1-9 scale for pairwise comparisons over alternatives.
Mingwei Lin   +3 more
doaj   +2 more sources

Deriving the priority weights from incomplete hesitant fuzzy preference relations in group decision making [PDF]

open access: yesKnowledge-Based Systems, 2016
The concept of hesitant fuzzy preference relation (HFPR) has been recently introduced to allow the de- cision makers (DMs) to provide several possible preference values over two alternatives.
Chen, Lei   +4 more
core   +3 more sources

Revisiting the Role of Hesitant Multiplicative Preference Relations in Group Decision Making With Novel Consistency Improving and Consensus Reaching Processes

open access: yesInternational Journal of Computational Intelligence Systems, 2019
In recent years, hesitant multiplicative preference relation (HMPR) has been a powerful means to represent the evaluation information of decision makers during the pairwise comparison concerning alternatives.
Rui Wang   +4 more
doaj   +2 more sources

Multiobjective Programming Approaches to Obtain the Priority Vectors under Uncertain Probabilistic Dual Hesitant Fuzzy Preference Environment

open access: yesInternational 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
doaj   +1 more source

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