区间条件下基于GRA和TOPSIS的辐射源威胁评估

将辐射源威胁评估作为多属性决策问题进行处理时,由于作战环境的复杂性,侦察方无法获取敌方辐射源的完整信息,导致各个辐射源目标的属性取值通常不是确定数值,具有一定的不确定性.针对上述问题,引入区间数理论和灰色关联分析对传统逼近理想解排序法进行拓展,提出一种基于灰色关联分析和逼近理想解排序的区间多属性决策方法用于解决不确定条件下的辐射源威胁评估问题.该方法构建基于区间数的欧氏距离和基于区间数的灰色关联度,通过对二者进行结合构建关于战场态势的决策信息系统,并通过构造新的综合贴近度实现对辐射源威胁程度的定量评价.实验仿真验证了所提方法能够有效解决实际作战中不确定条件下的辐射源威胁排序问题,有助于侦察方对于战场态势的进一步掌握.

Combining TOPSIS and GRA for emitter threat evaluation with interval number

When the radiation source threat assessment is treated as a multi-attribute decision problem, due to the complexity of the operational environment, the scouting party cannot obtain complete information of the enemy radiation source, and the attribute value of each radiation source target are not usually determined values. There is a certain degree of uncertainty, which is generally expressed by the interval number. Therefore, this paper introduces interval number theory and grey relational analysis(GRA) to extend the traditional TOPSIS method. An interval multi-attribute decision making method based on GRA and TOPSIS is proposed to solve the radiation source threat assessment problem under uncertain conditions. This method constructs Euclidean distance based on interval number and grey relational degree based on interval number, constructs the decision information system about battlefield situation by combining them, and realizes quantitative evaluation of radiation source threat degree by constructing new comprehensive proximity degree. Finally, the simulation results show that the proposed method can effectively solve the problem of radiation source threat sequencing under uncertain conditions in actual combat, which is helpful for the scouting party to further grasp the battlefield situation.