A new information fusion algorithm for handling heterogeneous group decision-making problems

被引：0
|
作者：
Chen, SJ [1 ]
Chen, SM
机构：
[1] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei, Taiwan
[2] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei, Taiwan
来源：
PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOL 1 & 2 | 2002年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we present a new information fusion algorithm based on the similarity measure, the FN-IOWA operator, and the linguistic quantifiers for aggregating fuzzy opinions in the heterogeneous group decision-making environment. The proposed information fusion algorithm can handle the heterogeneous fuzzy group decision-making problems in a more flexible and more intelligent manner due to the fact that it not only uses generalized fuzzy numbers to represent fuzzy opinions and the degrees of confidence of the fuzzy opinions of the decision-makers, but also uses linguistic quantifiers to aggregate the decision-makers' fuzzy opinions for different linguistic constraints.
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页码：390 / 395
页数：6
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