Target threat assessment based on
improved grey correlation algorithm

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

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

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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