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| Decision-level information fusion for target recognition based on choquet fuzzy integral |
| Liu Yongxiang; Li Xiang; Zhuang Zhaowen |
| ATR Key Laboratory National University of Defense Technology Changsha 410073 China |
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Abstract After introducing the concept of fuzzy measures and Choquet fuzzy integral, infor-mation fusion for target recognition can turn into generalized Lebesgue integral of recognition result with respect to the degree of importance of source. This paper presents a generalized recognition flow in decision-level information fusion based on Choquet fuzzy integral, and pro-vides a method for measuring the degree of importance of source. The algorithm is proved in the real IR/MMW fusion recognition system, the fusion result of recognition which compares with that of D-S evidence theory shows the efficiency of the method based on Choquet fuzzy integral.
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Received: 26 October 2001
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2003, Vol. 25 
