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Evidence Combination Based on Singular Value

Authors :
Kangkai Gao
Dawei Xue
Chunlan Yang
Yong Wang
Source :
Advances in Intelligent Systems and Computing ISBN: 9783319709895
Publication Year :
2017
Publisher :
Springer International Publishing, 2017.

Abstract

Evidence theory is an efficient tool to fuse multi-source information. However, when Dempster’s rule of combination is applied to combine highly conflicting evidences, counter-intuitive results may emerge. In order to resolve such a problem, a new weighted averaging evidence combination method based on singular value was put forward. Minimum singular value can measure the conflict between two evidences more accurately than other common methods. Thus, using singular value to determine the weights of evidences is more reasonable. Based on the weighted averaged evidences and Dempster’s rule, the final results are acquired. The numerical example illustrates that the proposed method can fuse highly conflict evidences effectively and has faster convergence speed and better focusing degree than some other existing combination methods.

Details

ISBN :
978-3-319-70989-5
ISBNs :
9783319709895
Database :
OpenAIRE
Journal :
Advances in Intelligent Systems and Computing ISBN: 9783319709895
Accession number :
edsair.doi...........a29eb3926f030ccde9935f35b4f48456
Full Text :
https://doi.org/10.1007/978-3-319-70990-1_36