A Method of Multi-sensor Data Fusion Based on Rough Set Theory and ART-2 Neural Network

ART-2 is a self-organized and unsupervised artificial neural network which can be used to deal with data fusion. But we found that the problem of data overloading is hard to be solved in the process of data fusion. Rough set is a mathematical approach to deal with vague, uncertain and imperfect data. So, we proposed a method of multi-sensor data fusion based on rough set theory and ART-2 neural network. At last, the simulation results show the feasibility and the validity of the proposed fusion system.