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针对装甲分队目标威胁评估动态指标的变化特性,运用灰色模型(Grey Model,GM(1,1))对装甲分队目标威胁评估动态指标进行了预测;针对现有vague集距离度量法缺失信息较多、违背直觉等不足,通过理论推导提出了vague集新的距离度量公式,然后将其应用到TOPSIS(Technique for Order Preference by Simularity to Ideal Solution)算法中,对装甲分队目标威胁进行了评估与排序,并与非预测方法的评估结果进行了对比,结果表明:采用本文提出的评估算法得出的评估结果更加合理有效,研究成果可为装甲分队火力优化分配提供科学参考。
According to the change characteristics of the target threat assessment of the armored units, the gray model (GM (1,1)) is used to predict the target threat assessment of the armored unit. In view of the fact that the missing information of the existing vague set distance measure is more , Counterintuitive intuition and other shortcomings, the new distance measure formula of vague sets is proposed through theoretical derivation, and then applied to TOPSIS (Technique for Order Preference by Simularity to Ideal Solution) algorithm to evaluate and sort the target threat of armored units, The results are compared with those of the non-forecasting method. The results show that the evaluation results obtained by the proposed method are more reasonable and effective. The research results can provide a scientific reference for the optimal allocation of firepower to armored units.