基于条件熵约简和粗糙集规则匹配的反辐射无人机作战目标威胁识别

Research on Threat Level to Battle Target of Anti-Radiation UAV Based on Conditional Information Entropy

文章采用粗糙集的方法来处理威胁识别中的不确定、未知信息,利用条件熵度量威胁识别属性的重要程度,并提出了一种新的规则匹配方法识别威胁等级。通过实例分析与对比,证明此方法能够为反辐射无人机作战目标威胁等级的判断提供了一种可行的途径。

The paper deal with uncertain information by using rough sets to threat level recognition of battle target of anit-radiation UAV,evaluating the importance of recognizing attributes,and a new method of matching rules is presented to recognize threat level.Experimental results show that this recognition method is effective to threat level recognition of battle target of anti-radiation UAV.