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ArticleA survey of approaches to decision making with intuitionistic fuzzy preference relations

Zeshui Xu2015

Article2015

A survey of approaches to decision making with intuitionistic fuzzy preference relations

Zeshui Xu · Huchang Liao

153 citations·0/0 files stored·Knowledge-Based Systems

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Multi-Criteria Decision Making Rough Sets and Fuzzy Logic Fuzzy and Soft Set Theory

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References

1986Intuitionistic fuzzy sets 2005Multiple Criteria Decision Analysis: State of the Art Surveys 2007Intuitionistic Fuzzy Aggregation Operators 1986Axiomatic Foundation of the Analytic Hierarchy Process 2000Distances between intuitionistic fuzzy sets 1978Decision-making with a fuzzy preference relation 1984Fuzzy preference orderings in group decision making 2003Some issues on consistency of fuzzy preference relations

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2019An interval-valued intuitionistic fuzzy DEMATEL method combined with Choquet integral for sustainable solid waste management 2015Confidence-consistency driven group decision making approach with incomplete reciprocal intuitionistic preference relations 2018An extension of the WASPAS method for decision-making problems with intuitionistic fuzzy numbers: a case of website evaluation 2017A new extension to PROMETHEE under intuitionistic fuzzy environment for solving supplier selection problem with linguistic preferences 2019Hospital performance evaluation by a hesitant fuzzy linguistic best worst method with inconsistency repairing

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Year2015

Typearticle

Published2015-01-09

VenueKnowledge-Based Systems

ISSN-L0950-7051

Languageen

Citations153

Files0 public / 0

ShelfMulti-Criteria Decision Making

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doi10.1016/j.knosys.2014.12.034

openalex_workW2066706286

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2015An enhanced consensus reaching process in group decision making with intuitionistic fuzzy preference relations

2019Expected consistency-based emergency decision making with incomplete probabilistic linguistic preference relations

2016Isomorphic Multiplicative Transitivity for Intuitionistic and Interval-Valued Fuzzy Preference Relations and Its Application in Deriving Their Priority Vectors