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空战多目标模糊聚类算法研究
引用本文:张堃,周德云. 空战多目标模糊聚类算法研究[J]. 计算机工程与应用, 2009, 45(28): 236-239. DOI: 10.3778/j.issn.1002-8331.2009.28.071
作者姓名:张堃  周德云
作者单位:西北工业大学 电子信息学院,西安 710072
摘    要:针对传统多机多目标攻击不易解算攻击任务分配,且计算量大的问题,提出基于划分的多目标模糊聚类算法,该算法根据目标属性的相似性进行多目标分类,可以有效地降低多目标任务分配解算维数,减少运算量,提高解算速度。采用FCM算法以及改进FCM算法度量方式构成的其他各个不同算法,建立空战多目标模糊聚类数学模型,对两组不同数据进行仿真分析,得到不同情况下的各算法的优劣性及适用性。

关 键 词:划分  模糊聚类  模糊C均值  度量方式  多目标
收稿时间:2008-05-27
修稿时间:2008-9-18 

Study on multi-target fuzzy partitional duster algorithm in air combat
ZHANG Kun,ZHOU De-yun. Study on multi-target fuzzy partitional duster algorithm in air combat[J]. Computer Engineering and Applications, 2009, 45(28): 236-239. DOI: 10.3778/j.issn.1002-8331.2009.28.071
Authors:ZHANG Kun  ZHOU De-yun
Affiliation:Department of Electronic Information,Northwestern Polytechnical University,Xi’an 710072,China
Abstract:The method of fuzzy partitional cluster algorithm is applied to classify the multi-target in the air combat,to be aimed at the shortcoming of traditional algorithm in calculating attack strategy difficultly.This algorithm reduces the computational complexity,and raises the operating speed by considering multi-target as a whole.Finally,multi-target colonies attack mathematical model is established,and uses the FCM(Fuzzy C-means) algorithm and improves FCM algorithm with different metrics based on two different multi-targets data,and divides them into several colonies according to the simulation in different targets.The simulation result indicates the algorithm’s validity and applicability in different situation.
Keywords:partition  fuzzy cluster  Fuzzy C-Means(FCM)  metric  multi-target
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