State Assessment Method of Fire Control System Based on Fusion of Grey Relational and D-S Evidence Theory

Abstract

A state assessment method based on fusion of grey correlation analysis and D-S evidence theory is proposed by taking the fire control computer and sensor subsystem of armored equipment as the research object. Firstly, the state evaluation model based on information fusion is established, and the basic knowledge of information fusion technology, D-S evidence theory and grey correlation degree are briefly introduced. Because there are many indicators in the research object and the signals are complicated to process. Therefore, the gray correlation analysis method is used to reduce the redundant index and optimize the index system. Then, the credibility distribution of each index in the reduction set is obtained, and the D-S evidence theory is used to fuse the results of the reduction to obtain the state assessment result. Finally, the gray correlation analysis method and D-S evidence theory constitute a complete information fusion system. The test results of the actual fire control system status data prove that the results are consistent with the prior knowledge, which proves the credibility of the method.