Unstructured Decision-making Model Base on Grey Fuzzy Number

被引：0
|
作者：
Zhang, Xin-bo [1 ]
Lu, Ying [1 ]
机构：
[1] Zhejiang Gongshang Univ, Coll Informat & Elect Engn, Hangzhou 310018, Peoples R China
来源：
2008 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY, VOLS 1 AND 2, PROCEEDINGS | 2008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：
Experts use natural language in the unstructured decision-making problems, when they are establishing weights by pairwise comparison. In this paper, attribute hierarchical model (AHM) is utilized to fuzzy number is establish weights. And grey fuzzy introduced, which can fully express experts' will and make experts' scoring more scientific. Then a new grey fuzzy unstructured decision-making model is proposed. Finally, the example shows that this model is simple and efficient.
引用
收藏
页码：650 / 653
页数：4
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