Combination of evidence with different weighting factors a novel probabilistic-based dissimilarity measure approach

To solve the invalidation problem of Dempster-Shafer theory of evidence (DS) with high conflict in multi-sensor data fusion, this paper presents a novel combination approach of conflict evidence with different weighting factors using a new probabilistic dissimilarity measure. Firstly, an improved probabilistic transformation function is proposed to map basic belief assignments (BBAs) to probabilities