Results 1 to 10 of about 104,338,643 (194)
Probability-hesitant fuzzy sets and the representation of preference relations [PDF]
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
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Multi-attribute group decision making based on hesitant fuzzy sets, TOPSIS method and fuzzy preference relations [PDF]
Technological and Economic Development of Economy, 2018 Hesitant fuzzy sets (HFSs) are widely applied in pattern recognition, classification, clustering, and multiple attribute decision making. In order to get more accurate decision results, the order relation of HFSs is particularly important. In this paper,
Jibin Lan +3 more
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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
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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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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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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 +3 more
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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
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Complexity, 2021 At present, the whole world is facing the serious challenge of COVID-19, and it has reached a consensus that taking appropriate measures timely is the key to prevent and control infectious diseases.
Ming Fu +3 more
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IEEE 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
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