Intelligent information fusion based on evaluation and decision of fuzzy preference relations
Luo Da-yong · Transducer and Microsystem Technologies · 2008
To resolve the problem of information fusion systems minimizing the associated coats in terms of computational complexity,time and required resources in acquiring the information.The intelligent information fusion system based on evaluation and decision of fuzzy preference relations model is proposed,which uses the ordering method of fuzzy preference relations to evaluation and decision and select sensors,then combines it with evidence theory to target recognition,the simulation result indicates that this algorithm is effectiveness.