Decision-level information fusion for target recognition based on choquet fuzzy integral

Liu Yongxiang; Li Xiang; Zhuang Zhaowen

Volume 25 Issue 5

May 2003

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2003 > 25(5): 695-699

Liu Yongxiang, Li Xiang, Zhuang Zhaowen . Decision-level information fusion for target recognition based on choquet fuzzy integral[J]. Journal of Electronics & Information Technology, 2003, 25(5): 695-699.

Citation:

Liu Yongxiang, Li Xiang, Zhuang Zhaowen . Decision-level information fusion for target recognition based on choquet fuzzy integral[J]. Journal of Electronics & Information Technology, 2003, 25(5): 695-699.

Citation:

PDF( 352 KB)

Decision-level information fusion for target recognition based on choquet fuzzy integral

Received Date: 2001-10-26
Rev Recd Date: 2002-07-17
Publish Date: 2003-05-19

Abstract

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.

FullText(HTML)

References(1)

References

H. Tahani, J. Keller, Information fusion in computer vision using the fuzzy integral, IEEE Trans.on SMC., 1990, SMC-20(3), 733-741.[2]P.D. Gader, M. A. Mohanmed, J. M. Keller, Dynamic-programming-based handwritten word recognition using the Choquet fuzzy integral as the match function, Journal of Electronic Imaging,1996, 5(1), 15-24.[3]M. Sugeno, Fuzzy measure and fuzzy integrals, a survey, Fuzzy Automata and Decision Processes.New York, North-Holland, 1997, 89-102.[4]T. Murofushi, M. Sugeno, A theory of fuzzy measures, representations, the Choquet integral, and null sets, Journal of Math. Analysis and Applications, 1991, 32(2), 532-549.[5]W Runsheng, Quality analysis of information to be fused, Proceedings of the Int. Conf. on multisource-multisensor information fusion, Las Vegas, USA,1998, 635-641.[6]刘永祥,黎湘,庄钊文,谈判式时空整体决策信息融合方法研究,电子与信息学报,2001,23(11),1225-1230.[7]黎湘,刘永祥,庄钊文,等,基于D-S证据理论的修正融合目标识别模型,自然科学进展,2000,10(11),1040-1042.

Relative Articles

Supplements(0)

Cited By

Proportional views