基于CRITIC-TOPSIS的动态辐射源威胁评估

为解决传统辐射源威胁评估方法与空战动态态势联系不紧密的问题，提高评估准确度，提出泊松分布逆形式与逼近理想解排序（TOPSIS）方法相结合的算法，并引入指标相关性的权重确定（CRITIC）方法分配属性权重，构建基于CRITIC-TOPSIS的动态辐射源威胁评估模型。针对传统方法仅依靠当前侦收数据，未体现空战态势动态变化的不足，采用泊松分布逆形式融合多个时刻的辐射源数据信息，实现动态评估；针对传统TOPSIS方法依赖主观赋值的问题，CRITIC方法综合考虑单个指标内部和多个指标之间的关联性，能完整描述属性信息并客观分配属性权重。仿真结果表明，相较于传统静态评估模型，所提模型对于威胁度不同的辐射源区分度更大，评估准确性和可靠性更高。 

Dynamic radiator threat assessment based on CRITIC-TOPSIS

In order to solve the problem that the traditional radiator threat assessment method is not closely related to the dynamic situation of air combat and to improve the assessment accuracy, an algorithm combining the inverse form of Poisson distribution with Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method is proposed. The Criteria Importance Through Intercriteria Correlation (CRITIC) method is also introduced to assign the attribute weight, and the dynamic radiator threat assessment model based on CRITIC-TOPSIS is constructed. In view of the deficiency of the traditional method that only relies on the current detection and collection data and does not reflect the dynamic change of air combat situation, the Poisson distribution inverse form is adopted to fuse the radiator data information at multiple moments to realize the dynamic assessment. In view of the problem that traditional TOPSIS method relies on subjective assignment, the CRITIC method comprehensively considers the correlation within single index and among multiple indexes, and can completely describe the attribute information and objectively assign the attribute weight. The simulation results show that, compared with the traditional static assessment model, the model in this paper is more discriminative for radiator with different threat degrees, and has higher assessment accuracy and reliability.