An improved fusion algorithm of evidence theory

An improved fusion algorithm of evidence theory is presented, considering both the problem that the DS evidence theory can not deal with the evidence conflict and the small disturbance of the basic probability distribution function can cause drastic changes in composition. The algorithm firstly uses the evidence distance to obtain the corresponding evidence conflict, then in order to achieve the reliability of evidence from the relation between evidence, fuzzy relation matrix is introduced, finally the research on different condition to improve the effective in the fusion algorithm.