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

页码：1087 / 1092

页数：6

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