Performance evaluation of sensor information fusion system based on cloud theory and fuzzy pattern recognition

Abstract

The sensor information fusion system was composed of complex factors, and there was no unified quantitative standard for each factor. During the system evaluation, the existing evaluation method cannot be applied to all influencing factors, and the result of the evaluation cannot represent the true performance of the system. This paper proposed an evaluation method combining cloud theory and fuzzy pattern recognition model. Based on the cloud theory, the reasonable conversion of qualitative indicators was realized, and the uncertainty of attribute factors was evaluated indefinitely. Combined with the fuzzy pattern recognition model, an evaluation model was established for quantitative indicators, and it was comprehensively processed by fuzzy evaluation method. Evaluation examples show that the method can more accurately and objectively evaluate the performance of the system.