Confidence based Consensus Model for Intuitionistic Fuzzy Preference relations

被引：0
作者：
Urena, Raquel
Chiclana, Francisco [1 ,2 ]
Fujita, Hamido [3 ]
Herrera-Viedma, Enrique [4 ]
机构：
[1] Univ Cadiz, Dept Informat Engn, Cadiz, Spain
[2] De Montfort Univ, CCI, Fac Technol, Leicester, Leics, England
[3] Iwate Prefectural Univ, Takizawa, Iwate, Japan
[4] Univ Granada, Dept Comp Sci & Artificial Intelligence, Granada, Spain
来源：
2017 4TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT) | 2017年
关键词：
GROUP DECISION-MAKING; CONSISTENCY; INFORMATION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：742 / 747
页数：6
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