Identification of false evidence using distance function and its application in target recognition

摘要

Dempster's rule of combination is a poor solution for the management of the conflict between the various information sources. It is proved that, if the false evidence can be correctly selected, Dempster's rule can deal with highly conflicting evidence combination efficiently. However, how to determine the false evidence is an open issue. 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 is shown to illustrate the efficiency of the presented approach.