DocumentCode :
460853
Title :
Combination of Conflict Evidences Using Grey Association Analysis and D-S Rule
Author :
Xu, Guoping ; Tian, Weifeng ; Jin, Zhihua ; Qian, Li
Author_Institution :
Dept. of Inf. Meas. Technol. & Instrum., Shanghai Jiao Tong Univ.
Volume :
1
fYear :
2006
fDate :
Nov. 2006
Firstpage :
657
Lastpage :
661
Abstract :
Dempster´s rule of combination, a classical combination rule with several interesting mathematical properties, is widely employed. However, as an inherent problem, Dempster´s rule of combination is incapable of managing the existing conflicts from various information sources at the process of normalization. The conflict management becomes a crucial problem in the operation of combination, especially in the condition of highly conflicting, which leads to produce the illogical result of combination. In this paper, we introduce the idea of grey association analysis (GAA), and propose a new conflict reassignment approach of belief functions, as a preprocessing method, to automatically identify and reassign the conflicts on belief functions before combination. One numerical example is also employed, and through analysis and comparison of the combined results, in comparison with the existing alternatives, the proposed approach can effectively solve the conflicting problem with the best convergence performance
Keywords :
belief maintenance; grey systems; inference mechanisms; uncertainty handling; Dempster combination rule; belief functions; conflict evidences; conflict management; conflict reassignment approach; grey association analysis; Convergence of numerical methods; Image processing; Information analysis; Instruments; Performance analysis; Sensor systems and applications; Target recognition; Target tracking; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security, 2006 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
1-4244-0605-6
Electronic_ISBN :
1-4244-0605-6
Type :
conf
DOI :
10.1109/ICCIAS.2006.294217
Filename :
4072170
Link To Document :
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