攻击决策是无人机对地攻击的重要内容之一，它包括火力分配(**选择、**分配)和目标决策(目标选择、目标排序)。在得到目标、载机、**信息的前提下,通过动态贝叶斯网络推理模型，选择出用于进行攻击的**类型；以Monte Carlo仿真结果为基础，完成攻击时的**分配。以上述两步结果为前提，通过构造相应表格并对此表进行查询，完成了目标选择和目标排序。仿真结果验证了此多目标攻击决策法的合理性和有效性。

Attack decision-making is very important for UAVs in air-to-ground attacking,which consists of weapon-target assignment (including weapon selection and weapon allocation) and target decision-making (including target selecting and target sequencing).Based on the information of targets,carrier-aircraft,and weapons,the types of weapon were selected through Dynamic Bayesian Networks (DBN) and it's inference model.Then,weapon assignment was implemented based on the Monte Carlo simulation results.According to the results obtained through the steps before,target selecting and target sequencing were accomplished.Simulation was made and the result verified the rationality and validity of the decision-making method for multi-target attacking.