针对空战环境的复杂多变和不确定性，首先研究了基于模糊Petri网的推理算法，建立了基于模糊推理Petri网的智能战术决策方法，将定性的决策推理过程变成了定量的矩阵运算; 然后针对规则的冗余性和可能的冲突性，利用粗糙集理论对战术决策规则库进行了精炼，简化了模糊推理Petri网结构，提高了战术决策推理的效率，实现了无人机攻击和防御的智能决策。仿真结果表明该方法具有可行性和有效性。

In view of the complicated, changeful and uncertain air-combat environment, the fuzzy Petri net based reasoning algorithm was studied. Then, an intelligent tactical decision-making method based on fuzzy reasoning Petri net was established, which changed the qualitative decision reasoning process into quantitative matrix operation. For the redundancy and possible conflict of rule, rough set theory was used to refine the tactical decision-making rule database, thus to simplify the fuzzy reasoning Petri net structure, improve the efficiency of tactical decision reasoning, as well as realize intelligent decision-making for UAV attack and defence. Simulation results demonstrate the feasibility and validity of the proposed method