Multi-attribute Decision-making Method Based on Interval-valued Intuitionistic Fuzzy Sets and D-S Theory of Evidence

摘要：

The theory of interval-valued intuitionistic fussy sets is now widely studied to deal with vagueness and D-S theory of evidence has a widespread use in multi-attribute decision-making (MADM) problems under uncertain situation. In this paper, A new method based on interval-valued intuitionistic fuzzy sets and D-S theory of evidence is proposed to handle MADM problems. In our method, the intervalvalued intuitionistic fuzzy numbers are represented by the interval average numbers. These average numbers are assigned to corresponding basic probability assignment (bpa) based on discounting method. Then the D-S combination rule is used to fuse information in order to obtain final mass functions for each alternative, thus the order of each alternative is obtained. A numerical example is used to illustrate the efficiency of the proposed method.

关键词： Interval-valued intuitionistic fuzzy sets D-S theory of evidence Multi-attribute decision-making Interval average number Data fusion

作者: Juan Liu Xinyang Deng Daijun Wei Ya Li Yong Deng

作者单位: School of Computer and Information Sciences, Southwest University,400715 Chongqing, China School of Computer and Information Sciences, Southwest University, 400715 Chongqing, China

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 2663-2666

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）