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.