DocumentCode
3186654
Title
A new method of information decision-making based on D-S evidence theory
Author
Yao, Junfeng ; Wu, Chengpeng ; Xie, Xiaobiao ; Qian, Kai ; Ji, Guoli ; Bhattacharya, Prabir
Author_Institution
Software Sch., Xiamen Univ, Xiamen, China
fYear
2010
fDate
10-13 Oct. 2010
Firstpage
1804
Lastpage
1811
Abstract
D-S evidence theory is a method broadly applied in fusion for decision-making. However, this theory has some shortcomings in the formula of evidence combination with the exception that evidence of fully conflict can not be combined, then the probability validity is difficult to determine and sometimes the composed evidence is different from people´s subjective judgments or some other issues. These confine the application of evidence to some extent. Some of them have the dubious credibility which affects the fusion result when Multi evidence are combined together. In order to expand the application of the formula of this theory and enhance the reliability of the fusion results, a new combination formula is introduced in this paper, which is also compared with other formulas in other literatures and finally the improved reliability of this combination formula is verified. At last, through data-mining of the decision-making information on a number of isolated points, a new method using combined evidence to make decisions is described. It´s proven from the experimental results that the new combination method not only works well and effectively in the evidence of a high level of conflict but also is applicable to fusion for decision-making.
Keywords
combinatorial mathematics; decision making; inference mechanisms; uncertainty handling; D-S evidence theory; combination formula; fusion reliability; information decision making; Indexes; Integrated circuits; Silicon; D-S evidence theory; combination rule; evidence isolated point; reliability;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location
Istanbul
ISSN
1062-922X
Print_ISBN
978-1-4244-6586-6
Type
conf
DOI
10.1109/ICSMC.2010.5642292
Filename
5642292
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