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
Link To Document :
بازگشت