DocumentCode :
1723700
Title :
D-S Algorithm Based on Particle Swarm Optimizer
Author :
Bo, Wang ; GuoQiang, Liang ; ChanLin, Wang
Author_Institution :
Naval Aeronaut. Eng. Inst., Yantai
fYear :
2007
Abstract :
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.
Keywords :
particle swarm optimisation; sensor fusion; D-S algorithm; D-S evidence theory; evidence weight-synthesization; information fusion; optimized model; particle swarm optimization; synthetic methods; weighed D-S theory; Aerospace engineering; Aggregates; Instruments; Optimization methods; Particle measurements; Particle swarm optimization; Power measurement; Reliability theory; Sensor fusion; Testing; evidence theory; optimize; particle swarm; weight value;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
Type :
conf
DOI :
10.1109/ICEMI.2007.4350681
Filename :
4350681
Link To Document :
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