DocumentCode
2196346
Title
A gray fixed cluster method based on the Dempster-shafer evidential theory
Author
Er-tian, Hua ; Wei-wei, Cao ; Ying, Chen ; Jun-jun, Xiao
Author_Institution
Coll. of Comput. Sci. & Inf. Eng., Zhejiang Gongshang Univ., Hangzhou, China
fYear
2011
fDate
9-11 Sept. 2011
Firstpage
3482
Lastpage
3485
Abstract
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.
Keywords
decision making; grey systems; inference mechanisms; pattern clustering; uncertainty handling; Dempster-Shafer evidential theory; design scheme selection; grey classification; grey fixed weight cluster method; multiattribute decision problem; weighted averaging method; Computational modeling; Computer science; Correlation; Decision making; Educational institutions; Entropy; Information entropy; Dempster-shafer evidential theory; design scheme selection; grey clustering evaluation; weights fusion;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location
Ningbo
Print_ISBN
978-1-4577-0320-1
Type
conf
DOI
10.1109/ICECC.2011.6067755
Filename
6067755
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