基于灰色区间关联的UCAV自主决策方法

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.

Decision-making approach to UCAV based on gray interval relative theory

To solve the problems of tactical decision-making for unmanned combat air vehicle(UCAV) under the condition of incomplete information, an independent tactical decision-making approach to UCAV based on gray interval relative theory was proposed. The decision-making elements were selected and the UCAV decision-making reasoning rule base was established in accordance with the combat mission's requirements. Incomplete information was modeled, a tactical decision-making model for UCAV was established according to the theory of gray interval relative. Conflict resolution algorithm, an effective solution to reasoning failures caused by the incomplete information, was designed. Some experiments were presented to simulate the decision-making process, the feasibility in resolving the UCAV tactical decision-making problems and the validity in resolving the rule match conflicts was verified. The results show that the approach is able to deal with the uncertainties of the decision-making factors, and gives reasonable results.