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为解决信息不完备条件下的无人作战飞机(UCAV,Unmanned Combat Air Vehicle)战术决策问题,提出一种基于灰色区间关联的UCAV自主战术决策方法.依照作战任务要求选取决策要素,建立UCAV决策推理的规则库.构建不完备信息模型,并基于灰色区间关联理论给出UCAV战术决策模型;设计冲突消解算法,有效解决不完备信息导致的推理失效问题.仿真实例模拟了决策过程,验证了该方法在解决UCAV战术决策问题上的可行性和在化解规则匹配冲突方面的有效性.仿真结果表明,该方法能够应对决策要素不确定性较大的情况,并给出合理的战术行为推理结果.
In order to solve the tactical decision-making problem of UCAV (Unmanned Combat Air Vehicle) with incomplete information, a UCAV autonomous tactical decision-making method based on gray interval correlation is proposed.According to the operational mission requirements, the decision elements are selected to establish UCAV decision reasoning .This paper constructs an incomplete information model and gives a UCAV tactical decision model based on the gray interval correlation theory and designs a conflict resolution algorithm to effectively solve the inference failure problem caused by incomplete information.The simulation example simulates the decision process and verifies the method The feasibility of resolving the UCAV tactical decision-making problem and its effectiveness in resolving the rule-matching conflict.The simulation results show that the method can deal with the uncertainty of the decision-making elements and provide the reasonable reasoning results of the tactical behavior.