An Expert System for Mine Warfare Based on Probabilistic Inference Network
Zhao Zuo-de · Intelligence Command Control and Simulation Technigues · 2005
In order to solve the problem of making decision during mine countermeasures, using Bayesian inference method, fuzzy logic and uncertainty reasoning method based on confidence, the article designs a probabilistic inference network as an expert system for mine warfare. Two kinds of conclusions can be obtained from this system. One is probability, the other is certainty factor. Their relationships are interdependent of quantitative and qualitative, which can be used to offer auxiliary suggestions to the commander of anti-mine operation for reducing the ship’s vulnerability at sea .