An Improved fusion Algorithm Of Evidence Theory

In this paper, an improved fusion algorithm of evidence theory is presented. Firstly, it uses the evidence distance to obtain the corresponding of evidence conflict, then obtains the evidence credibility by using the entropy of evidence conflict and makes use of the evidence credibility to redistribute the basic probability distribution function. Finally, it gets the fusion result by the ordinary combination formula. The simulation results prove that the algorithm can fuse the evidence with serious conflict effectively.