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基于PCA的机场选址问题综合评价模型
引用本文:卢厚清,刘 诚,杨海明,黄清禄.基于PCA的机场选址问题综合评价模型[J].交通标准化,2012(5):50-52.
作者姓名:卢厚清  刘 诚  杨海明  黄清禄
作者单位:中国人民解放军理工大学工程兵工程学院,江苏南京,210007
摘    要:机场选址问题是一个多要素的复杂问题,而主成分分析方法(PCA)恰是多元统计分析的有力工具,能将多指标转化为少数几个不相关的综合指标。因此可利用PCA方法并根据我国现行的机场规划设计技术规范,建立机场选址综合评价模型。结果证明,PCA是分析机场选址问题的可行的方法之一。

关 键 词:主成分分析  机场选址  综合评价  PCA

Comprehensive Evaluation on Airport Location Based on PCA
LU Hou-qing,LIU Cheng,YANG Hai-ming and HUANG Qing-lu.Comprehensive Evaluation on Airport Location Based on PCA[J].Communications Standardization,2012(5):50-52.
Authors:LU Hou-qing  LIU Cheng  YANG Hai-ming and HUANG Qing-lu
Institution:(Engineering Institute of Engineer Crops, PLA University of Science & Technology, Nanjing 210007, China)
Abstract:Airport location selection is a complex multivariate problem. However, Principal Component Analysis (PCA) is just a good tool to conduct multivariate statistical analysis, for it can translate most indicators into a few irrelevant composite indicators. Given this, the model for comprehensive evaluation of airport location selection is established in this paper by using PCA and based on the technical specification of airport location selection in existence. The result shows that PCA is feasible for analyzing airport location problem.
Keywords:principal component analysis  airport location  comprehensive evaluation: PCA
本文献已被 CNKI 维普 万方数据 等数据库收录!
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