基于熵-AHP融合的空袭目标威胁度量与排序

针对传统防空作战时对目标威胁评价主观性强、排序逻辑刻板的问题,提出基于熵值法与层次分析法(AHP)融合赋权的空袭目标威胁度量与排序方法。首先结合空战态势分析影响目标对我防空阵地威胁度的各属性因素,同时给出影响因素的威胁隶属度函数,然后利用熵值法和AHP赋权并相继采用加权求和、乘法合成、几何平均的方法进行二次融合,所获权重用于各目标威胁度的综合度量及排序。仿真结果表明,二次融合权重兼取熵值法与AHP的赋权特点,度量方法更为合理,排序结果更加贴合真实战场态势,可信度高。

Threat measurement and sequencing of air raid targets based on entropy method fused with AHP

To solve the problem that target threat assessment is mostly subjective and the sequencing logic is rigid in traditional air defense operations, a method for threat measurement and sequencing of air raid targets fusing entropy method and AHP is put forward. The attribute factors affecting the threat degree of target to air defense position are analyzed combined with air combat situation, meanwhile the corresponding threat membership functions are proposed. Through using weighted summation, multiplicative synthesis and geometric average, the weight of entropy method and AHP are fused twice to measure and sequence the threat degree of each target. The simulation result illustrates that the fusion threat weight takes both weighting characteristics of entropy method and AHP so that the measurement process is more reasonable, simultaneously the sequencing result is closer to the real battlefield situation and have high credibility.