DocumentCode :
441922
Title :
A new combination rule of evidence theory based on consensus
Author :
Liu, Yun-Sheng ; Huang, Guo-shun
Author_Institution :
Sch. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume :
5
fYear :
2005
fDate :
18-21 Aug. 2005
Firstpage :
2808
Abstract :
D-S evidence theory is one of important methods in dealing with multisource information. Although the D-S combination rule has been criticized by many researchers, it has several important properties such as commutativity, associativity and convergence. Those alternatives can´t meet the properties more or less. In this paper, we propose a new combination rule based on consensus to deal with the conflicting beliefs from distinct information sources. Some numerical examples are given to compare it with existing methods.
Keywords :
belief maintenance; case-based reasoning; combinatorial mathematics; uncertainty handling; Dempster-Shafer combination rule; Dempster-Shafer evidence theory; conflicting beliefs; consensus; distinct information source; Active appearance model; Commutation; Computer science; Convergence; Cybernetics; Decision making; Image classification; Machine learning; Uncertainty; Combination rule; Conflicting belief; Evidence theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
Type :
conf
DOI :
10.1109/ICMLC.2005.1527420
Filename :
1527420
Link To Document :
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