关键词: 动态贝叶斯网络, 机动动作识别, 灰度模糊评估矩阵, 飞行训练评估, 评估指标体系

Abstract: An evaluation method for flight training of warplanes is proposed based on dynamic Bayesian network and fuzzy gray theory. Firstly, the causal relationship between typical flight parameters and maneuver in the training process is analyzed. The maneuver recognition model based on dynamic Bayesian network is constructed according to expert experience and prior knowledge, and the maneuver recognition results are obtained by reasoning. Then, an evaluation index system of fighter flight training is established. The evaluation index of flight training is selected according to the results of fighter maneuver identification, and the index weight is determined by the comprehensive weighting method. Finally, the gray fuzzy evaluation matrix is established, and the evaluation results are obtained by calculating the flight data of each evaluation index in the flight training process. The experimental results show that the evaluation method proposed can recognize maneuver and evaluate flight training according to the parameters in the flight process, improving the efficiency of flight training evaluation.

Key words: dynamic Bayesian network, maneuver recognition, gray fuzzy evaluation matrix, flight training evaluation, evaluation index system