摘要：The Dempster-Shafer (D-S) theory is an excellent method of information fusion. Because of the difference which is caused by the sensors, it is essential to deal with the evidence with a method of weighed D-S theory. The new method to deal with data fusion based on improved D-S theory has been proposed, and set up the concept of weight of sensor evidence itself and evidence distance based on a quantification of the similarity between sets to acquire the reliability weight of the relationship between evidences. Considering the disadvantages of the improved D-S theory, a best method of obtaining evidence weight value is presented by an improved particle swarm optimization (PSO). Compared with the compared methods, this evidence theory proves more effective and advanced by making simulation test.
