Evidence combination based on credibility and separability

D-S evidence theory has been widely used in various fields of information fusion due to its efficiency in dealing with uncertain information. Unfortunately, combination of conflicting evidences with the classical Dempster´s rule may produce the counter-intuitive results. In this paper, Definitions of correlation coefficient and credibility are first presented, followed by the introduction of evidence separability. A modified weighted factor determined by credibility and separability is then presented, which is then applied to average the basic probability assignment (BPA). Finally, the modified BPA is combined following the D-S rule. It is demonstrated the more reasonable combination results can be obtained by this method. Moreover, better convergence performance can be obtained.