Intelligent Situation Fusion Assessment Using Bayesian Networks

Battle situation fusion assessment system is the core module and preceding function module in combat aircraft air-to-ground attack tactics decision-making system. Bayesian networks have advantages on deal with uncertainty inference. The Bayesian networks models of situation fusion assessment of combat aircraft has been built. The Bayesian inference algorithm and the sensitivity analysis model have been given out. The key technical of Bayesian networks has been simulated. The simulation results show that the situation fusion assessment models could improve the assessment accuracy and the algorithm is simple, perspicuity and apt to realization.