A new method for handling multicriteria fuzzy decision-making problems using FN-IOWA operators

被引：46

作者：

Chen, Shi-Jay ^{[1
]}

Chen, Shyi-Ming ^{[1
]}

机构：

[1] Department of Computer Science, Natl. Taiwan Univ. Sci. and Technol., Taipei, Taiwan

来源：

| 2003年 / Taylor and Francis Ltd.卷 / 34期

关键词：

Algorithms - Decision making - Mathematical models - Mathematical operators - Number theory - Problem solving;

D O I：

10.1080/01969720390180230

中图分类号：

学科分类号：

摘要：

We use fuzzy numbers to extend the traditional induced ordered weight averaging (IOWA) operator to present the fuzzy-number IOWA (FN-IOWA) operator, wherein fuzzy numbers are used to describe the argument values and the weights of the FN-IOWA operator, and the aggregation results are obtained by using fuzzy-number arithmetic operations. We also present a new method for ranking fuzzy numbers. Based on the proposed FN-IOWA operator and the proposed ranking method of fuzzy numbers, we present a new algorithm to deal with multicriteria fuzzy decision-making problems. The proposed algorithm can deal with multicriteria fuzzy decision-making problems in a more intelligent and more flexible manner.

引用