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Reconstruction and evaluation of close air combat decision- making process based on fuzzy clustering
Received date: 2014-05-07
Revised date: 2014-07-14
Online published: 2014-07-28
At present, a large number of researches focus on the area of intelligent decision-making and to solve the problem of what the evaluation results of air combat is, while the work of studying the reasons which lead to the evaluation results of air combat has received little attention so far. According to the changing characteristic of objective data recorded by air combat training system in air combat training, a fuzzy clustering method calculating the sequence of decision-making items is put forward, and then a fuzzy rough decision-making system is built to reconstruct the decision-making process of close air combat. By calculating and analyzing the relative importance degree between pairwise condition attributes, a two-phase clustering method is employed to deal with the decision-making items with similar importance. Then, the key decision-making sets are available. A case study is provided to analyze and evaluate the decision-making process of close air combat in terms of energy and relative position. Results show that the key decision-making sets result in the ultimate outcome of the air combat from the viewpoint of decision-making.
ZUO Jialiang , YANG Rennong , ZHANG Ying , WU Meng , XIAO Yuze . Reconstruction and evaluation of close air combat decision- making process based on fuzzy clustering[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015 , 36(5) : 1650 -1660 . DOI: 10.7527/S1000-6893.2014.0159
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