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- W2364963719 abstract "(Abstract )Different sensors provide different evidence importance in a target recognizing system with heterogeneous multisensor data fusion method. This paper proposes a fuzzy information fusion target recognition method. The evidences are transformed according to their weights before fused together using the DempsterShafer(DS) evide nce theory. The sensor measurements and data in the database are simulated by using the fuzzy mathematical model, and the mutual support degree among evidences is obtained from the evidence distances in order that the information weight of the evidence to the system is obtained. Analysis results show that this method has higher accuracy and reliability." @default.
- W2364963719 created "2016-06-24" @default.
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- W2364963719 date "2012-01-01" @default.
- W2364963719 modified "2023-09-23" @default.
- W2364963719 title "Fuzzy Information Fusion Target Recognition Based on Weighted Evidence Theory" @default.
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