基于G1-变异系数-KL改进TOPSIS雷达对抗干扰有效性评估

干扰效能评估作为多属性决策问题时，为解决传统的逼近理想解排序法（TOPSIS）在进行雷达对抗效能评估时过于客观而不能充分体现评估者意志，并且在使用过程中仅考虑指标间欧氏距离导致某些处于正负理想解中垂线上的点无法分辨的问题，提出一种G1-变异系数-KL改进TOPSIS雷达对抗干扰有效性评估算法。该算法利用G1法和变异系数法分别求得主观和客观权重，并引入差异系数的概念充分反映主客观程度，利用相对熵解决位于正负理想解中垂线上的点无法排序的问题。通过仿真实验可以发现，提出的算法在评价干扰有效性时性能优于传统算法。 

G1-variation-coefficient-KL based TOPSIS radar jamming effectiveness evaluation

When jamming effectiveness evaluation is transformed to a multi-attribute decision-making problem, traditional Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) is too objective to fully reflect the will of the evaluator, and the method only considers the inter-index Euclidean distance during the usage, which causes that certain solutions on the vertical line of the positive and negative ideal solutions cannot be distinguished. This paper proposes a G1-variation-coefficient-KL based TOPSIS radar jamming effectiveness evaluation algorithm. This method uses the G1 method and the variation coefficient method to obtain the subjective and objective weight, and introduces the coefficient of difference which can fully reflect the subjective and objective degree. With the application of relative entropy, the problem that the solutions on the vertical line of the positive and negative ideal solution cannot be sorted is solved, simulation results show that the performance of the proposed algorithm is better than some traditional algorithms in evaluating the effectiveness of jamming.