一种优化模糊聚类方法在空情分析中的应用  

Application of an optimized fuzzy clustering method in air situation analysis

作　　者：曾辉[1] 王颖龙[1] 郭浩波[1] 

机构地区：[1]空军工程大学导弹学院,陕西三原713800

出　　处：《电光与控制》2007年第3期66-68,共3页Electronics Optics & Control

摘　　要：空中敌情分析是防空作战中的重要环节,提出一种用于空情分析的优化模糊聚类方法,引入了多元统计分析中的F-统计量与显著性水平两个参数进行多元空情分析,详细介绍了优化模糊聚类方法在空情分析中应用的过程与步骤,得出了空情分类的一个优化结果,其错误概率低于一般的聚类方法所得的分类结果,证明了此方法的可行性及可靠性。The analysis to air situation of the opposed side is very important for air - defense combat. We presented an optimized fuzzy clustering method for the air situation analysis. Two parameters used in multivariate statistic analysis, F - statistics quantity and level of significance, were imported here for multivariate air situation analysis. The process and the steps of the optimized fuzzy clustering used in air situation analysis are discussed in detail. One optimized result was obtained, which error probability in classification is lower than that of the general clustering method. Thus the feasibility and reliability of the ontimized method was proved.

关 键 词：空情分析 模糊聚类 F-统计量 显著性水平 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计] O159[理学—数学]