Evaluation for Data Fusion System Based on Uncertainty
Xiuqing Wu · Shuju caiji yu chuli · 2005
The evaluation for the data fusion system is presented based on uncertainty. The purpose of the data fusion is to increase information. Thus the decrease of the uncertainty is equated to the increase of information. This paper uses the generalized information theory to measure information uncertainty. This method evaluates the performance of the data fusion system by measuring the changes of the information uncertainty after the fusion. Finally a method for measuring the information uncertainty of multi-objects system is given and the data fusion system is quantitatively evaluated.