Fuzzy Multi-attribute Decision-making Based on Grey Relation Analysis

被引：1
|
作者：
Zhang, Xin-bo [1 ]
Lu, Ying [1 ]
机构：
[1] ZheJiang GongShang Univ, Coll Informat & Elect Engn, Hangzhou, Zhejiang, Peoples R China
来源：
2008 IEEE INTERNATIONAL SYMPOSIUM ON KNOWLEDGE ACQUISITION AND MODELING WORKSHOP PROCEEDINGS, VOLS 1 AND 2 | 2008年
关键词：
grey fuzzy number; deviation degree; relation degree; multi-attribute decision-making;
D O I：
10.1109/KAMW.2008.4810596
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Uncertainty and grey often exist in many practical decision making problems. Aiming at this trait, we consider these two features when making decision and show the grey fuzzy set by combining membership degree with grey degree. In this paper, in view of the characteristics of grey fuzzy number, grey fuzzy comprehensive relation degree is defined. And present a method about the relation degree analysis for grey fuzzy multi-attribute decision making. This method is simple and practical. And the decision-making results is more objective and credible.
引用
收藏
页码：738 / 741
页数：4
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