DocumentCode :
2080884
Title :
An improved algorithm for Dempster-Shafer theory of evidence
Author :
Ye, Qing ; Wu, Xiaoping ; Zhai, Dingjun
Author_Institution :
Coll. of Electron. Eng., Naval Univ. of Eng., Wuhan, China
Volume :
1
fYear :
2008
fDate :
17-19 Nov. 2008
Firstpage :
13
Lastpage :
18
Abstract :
The computational complexity of reasoning within the Dempster-Shafer theory of evidence is one of the major points of criticism this formalism has to face. Various approximation algorithms have been suggested that aim at overcoming this difficulty. This paper presents an improved practical algorithm through reducing the number of focal elements in the belief function involved. In this proposed algorithm, all focal elements of every piece of evidence are classified into dereliction and remainder, and the basic probability assignments of those derelictions are reassigned to the remainders when they are correlative or the dereliction is nested to the remainder. Furthermore, the effect of the dereliction is considered well to influence the combination in this paper, and the computation and accuracy is taken into account to develop this proposed algorithm. Finally, an illustrative example shows that the improved practical algorithm is effective and feasible through comparing with other approximations.
Keywords :
belief networks; case-based reasoning; computational complexity; inference mechanisms; Dempster-Shafer theory of evidence; basic probability assignments; belief function; computational complexity; Approximation algorithms; Computational complexity; Computational intelligence; Educational institutions; Fault diagnosis; Intelligent systems; Knowledge engineering; Signal processing algorithms; Target recognition; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-2196-1
Electronic_ISBN :
978-1-4244-2197-8
Type :
conf
DOI :
10.1109/ISKE.2008.4730891
Filename :
4730891
Link To Document :
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