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A Natural Method for Ranking Objects from Hesitant Fuzzy Preference Relations
International Journal of Information Technology & Decision Making, 2017Hesitant fuzzy preference relations (HFPRs) are efficient tools to denoting the decision maker’s judgements that permit the decision makers to compare objects using several values in [0, 1], and the number of elements in different hesitant fuzzy elements may be different.
Tang, Jie +3 more
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Applied Intelligence, 2019
Hesitant fuzzy linguistic preference relation (HFLPR) as a new preference relation is introduced to express the decision makers’ (DMs’) hesitant preference information for each pairwise comparison between different alternatives or criteria. In this paper, the priority vector and consistency of HFLPR are discussed based on a two-stage optimization and ...
Peng Wu +3 more
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Hesitant fuzzy linguistic preference relation (HFLPR) as a new preference relation is introduced to express the decision makers’ (DMs’) hesitant preference information for each pairwise comparison between different alternatives or criteria. In this paper, the priority vector and consistency of HFLPR are discussed based on a two-stage optimization and ...
Peng Wu +3 more
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Group decision making with compatibility measures of hesitant fuzzy linguistic preference relations
Soft Computing, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gou, Xunjie, Xu, Zeshui, Liao, Huchang
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The consistency measures and priority weights of hesitant fuzzy linguistic preference relations
Applied Soft Computing, 2018Abstract Hesitant fuzzy linguistic preference relations (HFLPRs) have already been widely used in decision making. It can deal with the situation that the decision makers (DMs) are hesitant in more than one linguistic term when giving the evaluation of the alternative.
Xiangqian Feng, Lan Zhang, Cuiping Wei
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Local feedback strategy for consensus building with probability-hesitant fuzzy preference relations
Applied Soft Computing, 2018Abstract A consensus reaching process is an iteratively developed negotiation process designed to ensure that a mutual agreement is reached by decision makers. To incorporate distribution information of hesitant fuzzy sets, probability-hesitant fuzzy sets have recently been proposed.
Zhibin Wu, Bingmin Jin, Jiuping Xu
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Hesitant-intuitionistic Fuzzy Preference Relation and Its Application in Group Decision Making
2019 Chinese Control And Decision Conference (CCDC), 2019This paper investigates the multiplicative consistency of the hesitant-intuitionistic fuzzy preference relation (HIFPR) and its application in group decision making. First, an improved fuzzy preference relation is proposed to deal with the decision making problem with preference and nonpreference as well as hesitation.
Jintao Yu, Jinshan Wang
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CONSISTENCY OF HESITANT FUZZY PREFERENCE RELATIONS
Uncertainty Modelling in Knowledge Engineering and Decision Making, 2016ROSA M. RODRÍGUEZ +3 more
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Priorities from Incomplete Hesitant Fuzzy Reciprocal Preference Relations
2023openaire +1 more source
A new method for deriving priority from dual hesitant fuzzy preference relations
International Journal of Intelligent Systems, 2021Jie Tang +3 more
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