A new DS evidcnce fusion algorithm based on cosine similarity coefficient

In the field of uncertain information processing technology, the evidence theory is an effective method, especially in the field of multi-sensor fusion technology, the evidence theory has been widely used. The basic DS combination rule in dealing with conflict evidences exists obvious defects, while in practical applications, conflicting sensor data are inevitable, so the main research direction of evidence theory fusion algorithm is the combination rules of conflicting evidences. In this paper, on the basis of the original algorithm, a new evidence fusion method is proposed, and the simulation results show that this algorithm can deal with conflict evidences effectively.