A Gray Fixed Cluster Method Based On The Dempster-shafer Evidential Theory

被引：0
|
作者：
Hua Er-tian [1 ]
Cao Wei-wei [1 ]
Chen Ying [1 ]
Xiao Jun-jun [1 ]
机构：
[1] Zhejiang Gongshang Univ, Coll Comp Sci & Informat Engn, Hangzhou, Zhejiang, Peoples R China
来源：
2011 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND CONTROL (ICECC) | 2011年
关键词：
Dempster-shafer evidential theory; weights fusion; grey clustering evaluation; design scheme selection;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
To overcomes the disadvantages of computing the attributes' weight method in multi-attribute decision problem. In this paper, a weighted averaging method based on Dempster-shafer evidential theory and grey fixed weight cluster has been used. Firstly, by using the Dempster-shafer evidential theory can integrate the subjective and objective weights to get the weight coefficients, and then avoid the shortcomings of single weighting method. Secondly, after the fusion of weights which come from Dempster-shafer evidential theory, ones could apply information of grey classification of each clustering object fully. Finally, an example of design scheme selection is presented to illustrate the practicality and effectiveness of the method mentioned in this paper
引用
收藏
页码：3482 / 3485
页数：4
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