New algorithm to select false evidence and its application in multi-sensor data fusion

Qi Li, Wen Jiang, Dong Wang, Yong Deng

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

Dempster Shafer theory of evidence is widely used in data fusion due to its flexibility to deal with uncertain information processing. However, Dempster's rule of combination cannot efficiently handle conflict between the various information sources. In this paper, a novel method to identify the false evidence is proposed. First, the distance function between bodies of evidence is introduced to express the degree of conflict degree. Then, the confidence lever of each piece of evidence is obtained to reflect the reliability of each information source to some degree. By setting a threshold, the false evidence can be determined. The numerical example of multi-sensor fusion target recognition based on DS theory is shown to illustrate the efficiency of the presented approach.

源语言英语
页(从-至)2604-2610
页数7
期刊Journal of Information and Computational Science
5
6
出版状态已出版 - 12月 2008

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