Evidence Network Inference Recognition Method Based on Cloud Model

Uncertainty is widely present in target recognition, and it particularly important to express reason the uncertainty. Based on advantage of evidence network uncertainty processing, this paper presents an reasoning recognition method based a cloud fuzzy belief. In method, hierarchical structure model constructed; MIC (maximum information coefficient) used measure degree correlation between nodes determine existence edges, belief corresponding attributes generated model. addition, entropy conditional reliability table non-root nodes, under uncertain conditions realized afterwards by reasoning. The simulation results show that proposed can deal with random cognitive simultaneously, overcoming problem traditional has where cannot carry out effectively use sensor expert knowledge realize deep cognition intention.