中距协同空战决策过程二次聚类重构与评估

未来空战将以中距空战为主，找出导致中距空战结果的原因是开展贴近实际的中距空战智能决策需解决的重要问题。针对空战训练过程中记录数据分布的复杂特点，建立了中距协同空战训练评估模型，提出了基于高阶导数聚类和相对模糊熵聚类的二次聚类方法，计算编队协同决策集，实现编队中距协同空战决策过程重构。以编队协同搜索和协同机动决策的角度，寻找编队协同决策与中距空战结果的相关性，并通过实例评估验证了聚类算法的合理性。

Reconstruction and evaluation of medium-range cooperation air combat decision-making process with two phase clustering

In the future, the mid-range air combat will become the main air combat style, and the primary problem of intelligent decision-making for the medium-range cooperation air combat is to find the real reason of the air combat result. According to the data distribution of the aircraft record data in the air combat training, an assessment model of medium-range cooperation air combat training is built, a new method is proposed to compute the air combat decision set to reconstruct the medium-range air combat decision-making process based on high-order unite gradient and relative fuzzy entropy. From the perspective of cooperation search and cooperation maneuvering decision-making of the formation, the correlation between the medium-range cooperation air combat decision-making and the final result has been found, then the empirical study proves the rationality of the clustering algorithm proposed.