Conicting evidence combination based on a new measure method of uncertainty

Chao Tang, Wen Jiang, Yun Dong Chen, Cui Cui Wu, Fan E. Kong

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

In order to deal with the problem that Dempster-Shafer evidence theory will lead to fault results of information fusion under the situation of highly conicting evidence, the solution procedure are proposed based on a new measure method of uncertainty. It analyzed the deficiencies of several existing uncertain measure methods, and studied the information contained in basic probability assignment, then proposed a new method to measure the uncertainty of evidence. According to the new approach of uncertainty measure, we could combine it with distance of evidence to generate weight, then we exploited the Dempster's rule to complete evidence combinations. In this way, we can deal with the problem of information fusion by Dempster's rule of combination effectively, when it comes to highly conicting evidence combination. Finally, several examples illustrate the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)2394-2400
Number of pages7
JournalXitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
Volume35
Issue number9
StatePublished - 25 Sep 2015

Keywords

  • Conict
  • Distance of evidence
  • Evidence theory
  • Information fusion
  • Uncertainty measure

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