D-S Algorithm Based on Particle Swarm Optimizer
Bo Wang, Guoqiang Liang, Wang ChanLin · 2007
The D-S evidence 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. Presently, the study of the weighed D-S theory is confined to synthetic methods, and the study on how to obtain better weight value is also rarely covered. In fact, the definition of the weight values is fundamental to the process of weight-synthesizing the evidence. Considering the disadvantages of the weighed D-S theory, this article presents a best method of obtaining evidence value. After elaborating the thoughts of the new method, this article provides an excellent value by establishing an optimized model and improving the particle swarm algorithm. Compared with the compared methods, this evidence theory proves more effective and advanced by making simulation test.