| Citation: | LI Zhijun, XIANG Jianjun, SHENG Tao, et al. G1-variation-coefficient-KL based TOPSIS radar jamming effectiveness evaluation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(12): 2571-2578. doi: 10.13700/j.bh.1001-5965.2020.0493(in Chinese)
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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.
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