Maximizing deviation method for interval-valued intuitionistic fuzzy multi-attribute decision making

被引：0
|
作者：
Xu Xin [1 ]
Wang Weize [1 ]
Wang Zhoujing [1 ]
机构：
[1] Xiamen Univ, Dept Automat, Xiamen 361005, Fujian Province, Peoples R China
来源：
ICCSE 2008: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION: ADVANCED COMPUTER TECHNOLOGY, NEW EDUCATION | 2008年
关键词：
Multi-attribute decision making; interval-valued intuitionistic fuzzy number; interval-valued intuitionistic weighted arithmetic averaging (IIWAA) operator;
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：
The fuzzy multi-attribute decision making problems are investigated, in which the attribute values are given as interval-valued intuitionistic fuzzy numbers and the attribute weight information is incomplete. Some operational laws of interval-valued intuitionistic fuzzy numbers, score function and accuracy function of interval-valued intuitionistic fuzzy numbers are introduced. An optimization model based on the maximizing deviation method, by which the attribute weights can be determined, is established. We utilize the interval-valued intuitionistic weighted arithmetic averaging (IIWAA) operator to aggregate the interval-valued intuitionistic fuzzy information corresponding to each alternative, and then rank the alternatives and select the most desirable one(s) according to the score function and accuracy function. Finally, a practical example is provided to illustrate the developed approach and to demonstrate its effectiveness.
引用
收藏
页码：1087 / 1092
页数：6
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