Title :
Information fusion algorithm based on fuzzy optimum
Author :
Fu Xiao-rong ; Liu Yan
Author_Institution :
Coll. of Electr. Eng., Yancheng Inst. of Technol., Yancheng, China
Abstract :
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.
Keywords :
Bayes methods; fuzzy reasoning; sensor fusion; Bayes statistical method; Dempster-Shafer evidence reasoning method; fuzzy optimum theory; information fusion algorithm; modern air battle; multitarget sorting; pattern recognition; Cognition; Eigenvalues and eigenfunctions; Fuzzy logic; Pattern recognition; Sensor fusion; Sensor systems; degree of membership; fuzzy optimum; information fusion; pattern recognition; threat assessment;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5778054
