Application in Information Fusion Based on Measurement Uncertainty of Entropy

摘要

In the process of data fusion based op belief map, this paper presents a method to solve the problem that how to express capability and reliability of measurable index. The capability and reliability of measurable index was extended to multivariate forms through information entropy and uncertainty theory. This paper also describes the physical meaning of uncertainty in belief map, and presents a way how to resolve the capability based on information entropy, then undergo exploitation with MATLAB. Analyses and simulations show that this method holds stabilization and reflects the system character, and provides a moderate way for expressing capability of measurable index.