An Assessment Method of Unmanned Aerial Vehicle Mission Planning Quality Based on Bayesian Network

Aiming at the complexity of the mission planning result assessment index, the subjective factors of the assessment system and the unreasonable assessment method, an assessment method of mission planning quality based on static Bayesian network is proposed. In this paper, the mathematical model of mission planning assessment is established. According to the expert knowledge, each impact factor and its conditional probability table are established. The variable elimination algorithm is used to make objective and quantitative reasoning of the mission planning result. From the simulation results, the static Bayesian method has high applicability and accuracy for the assessment of mission planning results with diverse indicators, different dimensions and vague values.