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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Hesitant fuzzy information aggregation in decision making
Meimei Xia,Zeshui Xu +1 more
TL;DR: The relationship between intutionistic fuzzy set and hesitant fuzzy set is discussed, based on which some operations and aggregation operators for hesitant fuzzy elements are developed and their application in solving decision making problems is given.
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Distance and similarity measures for hesitant fuzzy sets
Zeshui Xu,Meimei Xia +1 more
TL;DR: A variety of distance measures for hesitant fuzzy sets are proposed, based on which the corresponding similarity measures can be obtained and can alleviate the influence of unduly large deviations on the aggregation results by assigning them low (or high) weights.
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Dual Hesitant Fuzzy Sets
Bin Zhu,Zeshui Xu,Meimei Xia +2 more
TL;DR: This paper proposes dual hesitant fuzzy sets (DHFSs), which encompass fuzzy sets, intuitionistic fuzzy Sets, hesitant fuzzy set, and fuzzy multisets as special cases, and investigates the basic operations and properties of DHFSs.
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Interval-valued hesitant preference relations and their applications to group decision making
Na Chen,Zeshui Xu,Meimei Xia +2 more
TL;DR: A new type of fuzzy preference structure, called interval-valued hesitant preference relations, is introduced to describe uncertain evaluation information in group decision making (GDM) processes and is developed in order to consider the differences of opinions between individual decision makers.
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On distance and correlation measures of hesitant fuzzy information
Zeshui Xu,Meimei Xia +1 more
TL;DR: This paper defines the distance and correlation measures for hesitant fuzzy information and then discusses their properties in detail, finding that the results are the smallest ones among those when the values in two hesitant fuzzy elements are arranged in any permutations.