An enhanced grey relational analysis method for interval-valued intuitionistic fuzzy multiattribute decision making

被引：11
作者：
Zhang, Qiansheng [1 ]
Xing, Hongyan [2 ]
Liu, Fuchun [3 ]
Huang, Yirong [4 ]
机构：
[1] Guangdong Univ Foreign Studies, Sch Informat, Guangzhou, Guangdong, Peoples R China
[2] Guangdong Univ Technol, Sch Math, Guangzhou, Guangdong, Peoples R China
[3] Guangdong Univ Technol, Fac Comp, Guangzhou, Guangdong, Peoples R China
[4] Sun Yat Sen Univ, Sun Yat Sen Business Sch, Guangzhou 510275, Guangdong, Peoples R China
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2014年 / 26卷 / 01期
关键词：
Interval-valued intuitionistic fuzzy number; multiattribute decision; optimization model; grey relational coefficient; ideal solution; TOPSIS; MODELS;
D O I：
10.3233/IFS-120740
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents an enhanced approach for multiattribute decision making with interval-valued intuitionistic fuzzy assessing values for each alternative. To efficiently deal with the interval-valued intuitionistic fuzzy multiattribute decision making problem with partially or completely unknown weight information, we construct several optimization models based on minimizing the distance between each alternative and positive ideal solution to obtain the optimal weight of each attribute. Also by employing the weighted grey relational coefficient of each alternative with respect to the ideal solution, the full ranking of all the alternatives can be obtained and the most desirable one can be selected.
引用
收藏
页码：317 / 326
页数：10
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