Incomplete interval-valued intuitionistic fuzzy preference relations

被引:77
|
作者
Xu, Zeshui [1 ,2 ]
Cai, Xiaoqiang [2 ]
机构
[1] Shanghai Jiao Tong Univ, Antai Sch Econ & Management, Shanghai 200052, Peoples R China
[2] Chinese Univ Hong Kong, Dept Syst Engn & Engn Management, Shatin, Hong Kong, Peoples R China
关键词
incomplete interval-valued intuitionistic fuzzy preference relation; consistent interval-valued intuitionistic fuzzy preference relation; interval-valued intuitionistic fuzzy averaging operator; interval-valued intuitionistic fuzzy geometric operator; arithmetic average; geometric mean; GROUP DECISION-MAKING; LINGUISTIC ASSESSMENTS; SETS; CONSENSUS; OPERATORS; MODEL;
D O I
10.1080/03081070903210630
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The aim of this paper is to investigate decision making problems with interval-valued intuitionistic fuzzy preference information, in which the preferences provided by the decision maker over alternatives are incomplete or uncertain. We define some new preference relations, including additive consistent incomplete interval-valued intuitionistic fuzzy preference relation, multiplicative consistent incomplete interval-valued intuitionistic fuzzy preference relation and acceptable incomplete interval-valued intuitionistic fuzzy preference relation. Based on the arithmetic average and the geometric mean, respectively, we give two procedures for extending the acceptable incomplete interval-valued intuitionistic fuzzy preference relations to the complete interval-valued intuitionistic fuzzy preference relations. Then, by using the interval-valued intuitionistic fuzzy averaging operator or the interval-valued intuitionistic fuzzy geometric operator, an approach is given to decision making based on the incomplete interval-valued intuitionistic fuzzy preference relation, and the developed approach is applied to a practical problem. It is worth pointing out that if the interval-valued intuitionistic fuzzy preference relation is reduced to the real-valued intuitionistic fuzzy preference relation, then all the above results are also reduced to the counterparts, which can be applied to solve the decision making problems with incomplete intuitionistic fuzzy preference information.
引用
收藏
页码:871 / 886
页数:16
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