Application of D-S Evidential Theory and Rough Set Theory in Data Fusion
Chunhai Hu · Modern Radar · 2004
A multi-sensor data fusion algorithm based on D-S evidence theory and rough set theory is proposed and used in target recognition. In target recognition data fusion, rough set theory is used to process the numerous original data, identity the redundant sensor, obtain the simplest sensor combination,reduce the characteristic data. Then D-S evidence theory is used to perform the target classification so as to improve the effect of classification. These two methods are combined and used in target recognition for solving the problem of sensor data overloading and incomplete sensor information fusion, resulting in improving the speed and effect of recognition.