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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/52594

Title: Confidence based consensus model for intuitionistic fuzzy preference relations
Authors: Raquel Ureña
Francisco Chiclana
Hamido Fujita
Enrique Herrera-Viedma
Contributors: 國立臺灣海洋大學:資訊工程學系
Keywords: Fuzzy sets
Decision making
Electronic mail
Information technology
Uncertainty
Date: 2017-04
Issue Date: 2019-11-22T02:33:30Z
Publisher: 2017 4th International Conference on Control, Decision and Information Technologies (CoDIT)
Abstract: Abstract: Intuitionistic fuzzy preference relation are gaining increasing relevance in the field of group decision making as they provide the experts with means to allocate the uncertainty inherent in their proposed opinions. A key issue in this field is to reach a solution accepted by the majority of the members of the group. In this contribution we present a new confidence-consistency based consensus model. Moreover to rank the alternatives we present the implementation of Orlovsky's non-dominance concept to define the fuzzy quantifier guided non-dominance choice degree for intuitionistic fuzzy preference relations.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/52594
Appears in Collections:[資訊工程學系] 期刊論文

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