论文部分内容阅读
为了对空战过程中大量的冗余信息进行约简 ,以提高空战决策的实时性 ,将粗糙集理论引入到编队协同空战战术决策研究中 ,提出了一种用于提取空战关键信息和战术决策规则的属性约简算法。并将单一决策属性下的属性值约简方法推广 ,讨论了更适于编队作战分析的多决策属性下的属性值约简问题。最后 ,通过一个编队空战战术选择示例对该算法进行了验证 ,结果表明 :空战的冗余信息是可以约简的 ;此算法可提取出对空战起主要作用的属性 ,即雷达 /中距弹信息 ;并且在保证空战关键分类结果不变的情况下 ,可生成用于战术决策的最小简化策略 ,所提取的决策规则与编队空战的实际相符合。
In order to reduce a large amount of redundant information in air combat to improve the real-time performance of air combat decision-making, the rough set theory is introduced into the research of tactical decision making of cooperative air combat in formation and a method is proposed to extract key information and tactical decision rules of air combat Attribute reduction algorithm. The attribute value reduction method under the single decision attribute is generalized. The problem of attribute value reduction under multi-decision attribute which is more suitable for formation combat analysis is discussed. Finally, the algorithm is validated by a formation air combat tactical selection example. The results show that the redundant information of air combat can be reduced; this algorithm can extract the attributes that play a major role in air combat, that is, the radar / ; And to ensure that the key classification results of air combat remain the same, a minimum simplified strategy for tactical decision-making can be generated. The extracted decision rules are consistent with the actual formation of air combat.