基于模糊Petri网的战术决策与规则精炼方法  

Tactical Decision-Making and Rule Refining Based on Fuzzy Petri Net

作　　者：张生伟[1] 仇振安 周锐[3] 

机构地区：[1]中国航空工业集团公司洛阳电光设备研究所,河南洛阳471000 [2]陆航驻洛阳地区军事代表机构,河南洛阳471000 [3]北京航空航天大学,北京100191

出　　处：《电光与控制》2015年第12期98-101,共4页Electronics Optics & Control

基　　金：航空科学基金(2011ZC13001)

摘　　要：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.

关 键 词：智能决策 战术决策 规则精炼 模糊PETRI网 粗糙集 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计]