New Evidence Combination Method Based on Redistribution of Global Conflict

2013 ◽  
Vol 303-306 ◽  
pp. 930-937
Author(s):  
Jing Zhu ◽  
Chen Xi Wang ◽  
Cheng Jun Zhang ◽  
Shi Kai Zhang

The combination of high conflict evidence is a research focus in belief function theory, this paper analyzes two major solving strategy of the modifying rule and the modifying evidence body, and proposes a new evidence synthesis method by modifying rule. In allusion to the combination of high conflict evidence and focusing downwards problem, the method constructs new global conflict measurement under the framework of conjunction combination, which can solve the illogicality of of Shafer conflict measurement. Then the paper designs the solution of local redistribution of global conflict, through choosing the reasonable proportion coefficient, which can overcome focusing downwards and synthesis convergence problem together. Compared with other methods, the new method is more effective to solve the combination problem of high conflict evidence, and meet the quasi-association, and has the higher value of application.

2013 ◽  
Vol 694-697 ◽  
pp. 2835-2841
Author(s):  
Jing Zhu ◽  
Cheng Jun Zhang ◽  
Li Fang Hu ◽  
Yi Cheng Zheng

In the belief function theory, the combination of highly conflicting evidences is a research focus,and the key lies in both the rationality and timeliness of combination method.This paper analyzes deeply the existing strategy of model modification, and putsforward a new rapid evidence synthesis method based on model modification. The average evidence ofweighted combination on mean evidence isfirstly given, then fast combination on pignistic transformation can be realized. Thus the BBM accordancewith the principle of proportion redistribution isgot. This method has the advantage of Murphy’s method, and overcomes the large calculation problems at the same time. Comparedwith other methods, the new method is more effective to solve the combinationproblem of highly conflicting evidences, and has fast convergence speed, small computationalcomplexity, and higher practical application value.


Author(s):  
Wafa Rekik ◽  
Sylvie Le Hégarat-Mascle ◽  
Cyrille André ◽  
Abdelaziz Kallel ◽  
Roger Reynaud ◽  
...  

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