基于改进灰色关联算法的目标威胁评估

张浩为，谢军伟，盛川，张昭建

ZHANG Hao-wei,XIE Jun-wei,SHEN Chuan,ZHANG Zhao-jian

(Institute of Air and Missile Defense,Air Force Engineering University,Xi’an 710051,China)

Received:2015-10-16 Revised:2016-04-06 Online:2017-10-25 Published:2017-10-25

摘要：

针对防空作战中目标威胁评估问题，提出一种基于改进灰色关联算法(IGCA)的威胁评估方法。针对已往目标威胁评估中仅评

估当前时刻的不足，采取对时间序列赋予权重的方法，构造多时刻目标威胁模型。运用层次分析与熵权法共同计算实时综合

权重，使目标威胁因素的权值既体现专家经验，又反映数据的客观有序性；采用集对分析理论，将权值折算到同一层次，使

其更加合理。最后，运用基于理想解的改进灰色关联算法，得出最终目标威胁排序。仿真分析表明，评估方法可以克服采取

单一算法得出目标威胁相同的情况，融合多个时刻目标信息的评估方法更加准确、可靠。

关键词: 威胁评估, 灰色关联算法, 逼近理想解排序法, 组合赋权

Abstract:

Aiming at the threat assessment of targets in air defense combats, we propose a new target assessment method

based on improved grey correlation algorithm. Time sequence weights are introduced to construct the dynamic

threat assessment model of targets, which improves traditional methods by on-ly assessing current targets’

threat. According to subjective and objective properties, the weights of tar-gets threat elements are

calculated in real time, which are then converted to the same layer by using the set pair analysis theory.

Finally, the improved grey correlation algorithm based on the technique for or-der preference by similarity

to an ideal solution (TOPSIS) is applied to get the final targets threat order. Theoretical analysis and

simulation results prove the reliability and validity of the method.

Key words: threat assessment, grey correlation algorithm, TOPSIS, combinatorial weighting method

张浩为，谢军伟，盛川，张昭建. 基于改进灰色关联算法的目标威胁评估[J]. 计算机工程与科学.

ZHANG Hao-wei,XIE Jun-wei,SHEN Chuan,ZHANG Zhao-jian.

Target threat assessment based on

improved grey correlation algorithm

[J]. Computer Engineering & Science.

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