Data Fusion Based on Rough Set Theory and Its Application in Target Recognition

摘要

Some traditional methods of multi-sensor data fusion in target recognition have already achieved good efforts in target recognition, but there are still some limitations. Rough set theory is a kind of new tool for dealing with imprecise knowledge. Firstly the information system with four attributes and ten workpeices is established from rough data. Secondly based on this information system, the discernibility matrix and the concepts of the discernibility function, we can compute the reduction and the core. Thirdly using the consistence in rough set theory, reduce the redundancy, then get the decision rule. Data fusion based on this theory can improve the effect of target recognition.