基于层次聚类FCM算法的民用机场类别划分研究

摘要

从机场运营、机场发展、综合交通以及对应城市社会经济环境四个维度构建民用机场类别细分量表，获取样本数据；将因子分析与基于层次聚类的FCM算法相结合，最终将国内主要民用机场划分为6个类别，并依据原始指标数据对各类别民用机场特征进行均化统计与类别分析。研究结果表明，以基于层次聚类的FCM算法划分中国主要机场类别可获得满意的划分结果，各机场类别间统计指标均值差异明显。%The classification scale was formed from the four dimensions of airport operation,airport develop-ment ,comprehensive transportation and the social and economic environment of the correspondent cities .On the basis of thescale,the data was collected from various governmental websites.Combining the factor analy-sis and the joint algorithm of hierarchy clustering and FCM,this paper finally obtained 6 categories of Chi-nese main airports and the average values of the indicators were used to describe different categories.The results demonstrated that by applying the joint algorithm of hierarchy clustering and FCM,main Chinese air-ports could be desirably classified and the differences among different classes were obvious.