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Proceedings Paper

Fuzzy reasoning method and the function of information fusion
Author(s): Hong Li; Hui Xu; Wei An; Zhongkang Sun
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Paper Abstract

Although the emerging of fuzzy sets theory and its application to the region of pattern recognition has pushed greatly the development of pattern recognition, the fuzzy pattern recognition has some defects of itself--it isn't of the function of information fusion, that is to say, it cannot fuse the information supplied by multiple sensors effectively in order to improve the reliability and rate of recognition. A fuzzy reasoning method based on the combination of fuzzy sets theory and Dempster-Shafer's evidence theory is introduced in this paper. For this method, evidence theory is used to add the function of information fusion to traditional fuzzy reasoning method so that the validity and reliability of recognition are improved.

Paper Details

Date Published: 28 July 1997
PDF: 5 pages
Proc. SPIE 3068, Signal Processing, Sensor Fusion, and Target Recognition VI, (28 July 1997); doi: 10.1117/12.280789
Show Author Affiliations
Hong Li, National Univ. of Defense Technology (China)
Hui Xu, National Univ. of Defense Technology (China)
Wei An, National Univ. of Defense Technology (China)
Zhongkang Sun, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 3068:
Signal Processing, Sensor Fusion, and Target Recognition VI
Ivan Kadar, Editor(s)

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