基于分层TOPSIS法的预警机效能评估

预警机（early warning aircraft, EWA）效能评估是军事指挥员进行作战部署的基础之一，通过对EWA效能评估研究现状的分析，提出一种采用分层逼近理想解排序法（technique for order preference by similarity to ideal solution， TOPSIS）进行EWA效能评估的方法。首先，对影响EWA效能的指标进行分类，建立分层指标体系；其次，构建了多属性决策的分层TOPSIS法的数学模型，并采用熵权法确定指标权重；最后，通过对四型典型EWA的效能评估，表明所提方法的有效性和可行性。

Effectiveness evaluation of early-warning aircraft based on hierarchy TOPSIS

Effectiveness evaluation of EWA is one of foundations that the military conductor carries on battle deployment. After analysing the research of status quo, a hierarchy technique for order preference by similarity to ideal solution (TOPSIS) is put forward to evaluate the effectiveness of EWA. Firstly, the index which affects the effectiveness of EWA is classified and the hierarchy index system is established. Secondly, the multiple attribution decision making mathematics model of the hierarchy TOPSIS is set up and the entropy power process is adopted to solve index power coefficient. Finally, a typical example indicates that the method is effective and feasible.