M
Meimei Xia
Researcher at Beijing Jiaotong University
Publications - 50
Citations - 8070
Meimei Xia is an academic researcher from Beijing Jiaotong University. The author has contributed to research in topics: Fuzzy set & Fuzzy logic. The author has an hindex of 29, co-authored 49 publications receiving 7006 citations. Previous affiliations of Meimei Xia include Tsinghua University & Southeast University.
Papers
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Generalized intuitionistic fuzzy Bonferroni means
Meimei Xia,Zeshui Xu,Bin Zhu +2 more
TL;DR: This paper introduces the generalized weighted BM and the generalized intuitionistic fuzzy weighted BM, both of which focus on the group opinion, and proposes an approach to multicriteria decision making on the basis of the proposed aggregation techniques.
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Managing hesitant information in gdm problems under fuzzy and multiplicative preference relations
Meimei Xia,Zeshui Xu +1 more
TL;DR: The hesitant multiplicative set is introduced and a series of hesitant multiplier aggregation operators are developed to provide decision makers a very useful tool to express their hesitant preferences over alternatives.
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Algorithms for improving consistency or consensus of reciprocal [0,1]-valued preference relations
Meimei Xia,Zeshui Xu,Jian Chen +2 more
TL;DR: The proposed algorithms can improve the consistency or consensus of reciprocal [0,1]-valued preference relations with less interactions with the decision makers, which can save a lot of time and obtain the results quickly.
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Some new similarity measures for intuitionistic fuzzy values and their application in group decision making
Meimei Xia,Zeshui Xu +1 more
TL;DR: A series of similarity measures for intuitionistic fuzzy values (IFVs) based on the intuitionists fuzzy operators and some aggregation operators are developed, whose prominent characteristic is that the associated weights only depend on the aggregated intuitionism fuzzy arguments and can relieve the influence of unfair arguments on the aggregate results.
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The ELECTRE I Multi-Criteria Decision-Making Method Based on Hesitant Fuzzy Sets
TL;DR: A hesitant fuzzy ELECTRE I (HF-ELECTRE I) method is developed and applied to solve the MCDM problem under hesitant fuzzy environments using the concepts of hesitant fuzzy concordance and hesitant fuzzy discordance to determine the preferable alternative.