DocumentCode
2233742
Title
Combining the Conflicting Belief Functions
Author
Liu Zhun-ga ; Cheng Yong-mei ; Pan Quan ; Miao Zhuang
Author_Institution
Sch. of Autom., Northwestern Polytech. Univ., Xi´an, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
3993
Lastpage
3996
Abstract
The classical Dempster-Shafer theory involves counter-intuitive behaviors when the evidence high conflict. In order to solve the problem, a new approach of weighted evidence combination is proposed. Both evidence distance and inconsistent information are considered to evaluate the conflict. Each piece of evidence is given weight coefficient according to its amount of conflict with others. Then two methods are used to modify the belief functions, and the modified functions are combined by DS rule. Numerical example shows the proposed approach can efficiently handle conflicting evidence with good convergence efficiency.
Keywords
belief networks; case-based reasoning; inference mechanisms; Dempster-Shafer theory; belief functions; counter intuitive behavior; evidence distance; evidence theory; inconsistent information; Automation; Convergence of numerical methods; Information science;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4909-5
Type
conf
DOI
10.1109/ICISE.2009.403
Filename
5455571
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