Research of DST algorithm based on local conflict distribution strategy

In order to efficiently overcome the shortcomings of Dempster-Shafer theory(DST) combination rule, an improved DST algorithm based on local conflict distribution strategy is proposed. Firstly, the mutual support degree of every evidence is obtained by the evidence distance, and the support degree is normalized to the relative credibility of the evidence. The generate reason of local conflict is analyzed, and the conflicting information is only distributed to those focal elements which contribute to the conflict. Through calculating local conflict, the distributed value depends on the credibility and similarity degree of the focal element in evidence. The results of numerical examples show that the proposed algorithm enhances the reliability and rationality of the evidence combination results, and effectively solves the combination of highly conflicting evidence.