To process the uncertainty of decision-making environment and the real-time during the tactical decision of UAV medium-range air combat, a hybrid tactical decision-making method based on rule sets and Fuzzy Bayesian network (FBN) was proposed. By studying the process of UAV air combat, the main factors that affect the tactical decision were analyzed. A corresponding FBN and expert system were built up. The hybrid system retained the advantage of expert system by the first call to it. In the mean time, the system could also process the uncertainty of decision-making environment by means of the FBN. Finally, through the air combat simulation, the correctness, realtime and effectiveness in an uncertain environment of the hybrid tactical decision-making method were verified.
The team mental state is a key point for making cooperative air combat decision. In this paper, we focus on the modeling of mental states of the combat team by means of analyzing the requirements of making cooperative air combat decision. Modeling of various mental states of the combat team including mutual belief, joint combat goal and plan are proposed based on the combat environment, combat mission, and the combat capability of each member in the combat team, etc.. We also discuss the dynamic attributes of the team mental states, such as the mutual belief revision, joint combat goal and joint combat plan updating etc., in the light of the combat mission, situation and the combat capability, etc. .
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