Systems Engineering and Electronics ›› 2020, Vol. 42 ›› Issue (1): 108-117.doi: 10.3969/j.issn.1001-506X.2020.01.15

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Reconstruction and evaluation of medium-range cooperation air combat decision-making process with two phase clustering

Jialiang ZUO(), Ying ZHANG*(), Rennong YANG(), Zhenxing ZHANG()   

  1. Air Traffic Control and Navigation College, Air Force Engineering University, Xi'an 710051, China
  • Received:2019-04-08 Online:2020-01-01 Published:2019-12-23
  • Contact: Ying ZHANG E-mail:jialnzuo@163.com;zhangying198807@126.com;yangrn6907@163.com;2207621676@qq.com
  • Supported by:
    军内科研基金(20172A03121)

Abstract:

In the future, the mid-range air combat will become the main air combat style, and the primary problem of intelligent decision-making for the medium-range cooperation air combat is to find the real reason of the air combat result. According to the data distribution of the aircraft record data in the air combat training, an assessment model of medium-range cooperation air combat training is built, a new method is proposed to compute the air combat decision set to reconstruct the medium-range air combat decision-making process based on high-order unite gradient and relative fuzzy entropy. From the perspective of cooperation search and cooperation maneuvering decision-making of the formation, the correlation between the medium-range cooperation air combat decision-making and the final result has been found, then the empirical study proves the rationality of the clustering algorithm proposed.

Key words: air combat decision-making, mid-range air combat cooperation, two phase clustering

CLC Number: 

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