A Prioritized Information Fusion Method for Handling Fuzzy Decision-Making Problems

被引：0
作者：
Shi-Jay Chen
Shyi-Ming Chen
机构：
[1] National Taiwan University of Science and Technology,Department of Computer Science and Information Engineering
来源：
Applied Intelligence | 2005年 / 22卷
关键词：
prioritized information fusion algorithm; generalized fuzzy numbers; similarity measures; information filtering; prioritized operator;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Although Yager has presented a prioritized operator for fuzzy subsets, called the non-monotonic operator, it can not be used to deal with multi-criteria fuzzy decision-making problems when generalized fuzzy numbers are used to represent the evaluating values of criteria. In this paper, we present a prioritized information fusion algorithm based on the similarity measure of generalized fuzzy numbers. The proposed prioritized information fusion algorithm has the following advantages: (1) It can handle prioritized multi-criteria fuzzy decision-making problems in a more flexible manner due to the fact that it allows the evaluating values of criteria to be represented by generalized fuzzy numbers or crisp values between zero and one, and (2) it can deal with prioritized information filtering problems based on generalized fuzzy numbers.
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页码：219 / 232
页数：13
相关论文
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