运用模糊聚类方法对民用机场重点目标进行辅助分类  

On the Application of the Fuzzy Clustering Method to the Ancillary Classification of Important Traffic Targets at Civilian Airports

作　　者：海军 齐文哲 张健[2] HAI Jun QI Wenzhe ZHANG Jian(Joint Projection Department of the Military Transportation Institute,Tianjin 300161,China Postgraduate Training Brigade of the Military Transportation Institute,Tianjin 300161 ,China)

机构地区：[1]军事交通学院联合投送系,天津300161 [2]军事交通学院研究生管理大队,天津300161

出　　处：《国防交通工程与技术》2017年第2期12-15,27,共5页Traffic Engineering and Technology for National Defence

摘　　要：针对目前我国对机场重点目标等级划分不准确、不精细的问题,运用模糊数学的聚类分析方法,研究了民用机场重点目标的辅助分类问题,并通过实例证明了该方法的科学性与实用性,为民用机场重点目标科学分类提供辅助参考。Aiming at solving the problems of the inaccuracy and impreciseness now existing in the classification of important traffic targets of airports in our country, the fuzzy clustering analysis method is applied to in this paper to studying the classification of important traffic targets of civilian airports,with practical examples provided to prove the scientificalness and practicability of the method. The paper provides an ancillary gist for the scientific classification of important traffic targets of civilian airports.

关 键 词：模糊聚类分析 民用机场 交通重点目标 

分 类 号：V351[航空宇航科学与技术—人机与环境工程]