DocumentCode
2264023
Title
Evidence combination based on evidence classification
Author
Bing, He ; Shiyi, Mao ; Youwei, Zhang ; Shaohong, Li
Author_Institution
Beijing Univ. of Aeronaut. & Astronaut., China
fYear
2001
fDate
2001
Firstpage
732
Lastpage
736
Abstract
A modified DS evidence combination method based on evidence classification (ECBEC) is introduced. Such a method imitates human´s behavior in classification. When a series of beliefs are available, first those evidences are classified into several sets. In each set, all the evidences are consistent with each other and can be combined with DS rule reasonably. Then, all the combination results are integrated with weighting rule to form the final result. As shown in this work, such a method can solve the problem of combining evidence with high degree of conflict effectively
Keywords
case-based reasoning; radar computing; radar theory; DS evidence combination; Dempster Shafer evidence theory; ECBEC; evidence classification; radar; weighting rule; Artificial intelligence; Bayesian methods; Humans; Robustness; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar, 2001 CIE International Conference on, Proceedings
Conference_Location
Beijing
Print_ISBN
0-7803-7000-7
Type
conf
DOI
10.1109/ICR.2001.984819
Filename
984819
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