基于属性约简-改进TOPSIS的动态辐射源威胁评估

Threat Assessment of Dynamic Radiation Source Based on Attribute Reduction-Improved TOPSIS

针对当前辐射源的动态威胁评估问题,提出一种基于属性约简-改进TOPSIS的威胁评估算法,引入组合赋权法和基于时间度的时间权重计算方法,构建动态威胁评估模型。首先根据优势关系对属性进行约简,然后利用组合赋权法计算属性权重,从欧氏距离、灰色关联度和广义马氏距离3种测度出发改进TOPSIS方法,计算加权综合贴近度,并结合时间权重,实现最终的威胁排序。仿真实验结果验证了所提算法的合理性,相比传统评估方法,可靠性更高,并能够根据决策者偏好调整参数,有较强的灵活性。

To solve the current problem of dynamic threat assessment of radiation sources,a threat assessment algorithm based on attribute reduction-improved TOPSIS is proposed,and a dynamic threat assessment model is constructed by introducing the combination weighting method and the time weight calculation method based on time degree.Attribute reduction is carried out according to the dominant relationship of the information system,and then the combination weighting method is used to calculate the attribute weight.The TOPSIS method is improved based on the measurements of the Euclidean distance,gray correlation degree and generalized Mahalanobis distance,and the weighted comprehensive proximity degree is calculated.In combination with the time weight,the final threat ranking is realized.The simulation results have verified the rationality of the proposed algorithm.Compared with the traditional evaluation method,the proposed algorithm has higher reliability and the parameters can be adjusted according to the preferences of decision makers with strong flexibility.