Information fusion algorithm based on fuzzy optimum

摘要

Information fusion is a key technique in modern air battle. A new information fusion algorithm based on fuzzy optimum theory is proposed in this paper. Fuzzy optimum theory is widely used in pattern recognition, multitarget sorting, etc. Using this information fusion algorithm, we discuss its detail process in air battle. The result represents its effective, and it is superior to Bayes statistical method and Dempster-Shafer evidence reasoning method.