D-S Algorithm Based on Particle Swarm Optimizer
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.
evidence theory weight value optimize particle swarm
Wang Bo Liang GuoQiang Wang ChanLin
YanTai ShanDong,Naval Aeronautical Engineering Institute,264001 China
国际会议
西安
英文
2007-08-16（万方平台首次上网日期，不代表论文的发表时间）