基于变异系数法和改进TOPSIS法的空战威胁评估

Air Combat Threat Assessment Based on the Coefficient of Variation Method and Improved TOPSIS Method

目标威胁评估技术是智能战术援助决策系统的关键技术之一。针对当前空战目标威胁评估中存在的威胁评估指标具有耦合性,不同权重计算方法具有差异性,以及传统威胁排序方法逼近理想解排序法(TOPSIS)中存在方案区分度混淆等问题,设计了一种基于变异系数法和改进TOPSIS的空战威胁评估方法。对各个空战威胁评价指标进行相关性热力图分析,选择合适的威胁评估指标。建立主客观权重相结合的空战威胁评估模型,在客观方法选择上用变异系数法代替了熵权法,降低了模型对数据的要求。用Manhattan距离取代传统TOPSIS法中的欧式距离对威胁系数进行排序,将排序误差率减小了6%。算例仿真分析结果表明,该方法既考虑到决策者的主观偏好,又保证了决策的客观性,有效提升了空战威胁评估的精度。

Target threat assessment technology is one of the key technologies of intelligent tactical assistance decision-making system.Current air combat target threat assessment has the problems of threat assessment indicators coupling,variability of different weight calculation methods,and confusion in programme differentiation in the traditional TOPSIS threat ranking method.An air combat threat assessment method based on the coefficient of variation method and the improvement of TOPSIS was designed.The correlation heat map analysis of each air combat threat evaluation index was carried out to select appropriate threat evaluation indices.The air combat threat assessment model combining subjective and objective weights was established,and the coefficient of variation method was used to replace the entropy weight method in the selection of objective methods,which reduces the data requirements of the model.The Manhattan distance was used to replace the Euclidean distance in the traditional TOPSIS method to rank the threat coefficients,which reduced the ranking error rate by 6%.The results of the simulation and analysis of a numerical example showed that the method took into account the subjective preference of the decision maker and ensures the objectivity of decision making,which effectively improved the accuracy of air combat threat assessment.