主成分聚类分析在省域物流规划中的应用

提出利用主成分聚类分析的方法对省域物流规划中各地区的物流发展进行综合评价并分类.建立区域物流发展评价指标体系,利用主成分分析能够剔除多指标间存在相关性及信息重叠的特点,对各地区的物流发展综合实力进行评价,再利用新得到的综合主成分指标代替原来较多的评价指标,对省内各地区的物流发展进行聚类分析.该方法不但能够使原来复杂的问题简单化,而且所得结论客观、可信、较有说服力.研究结果表明本文提出的方法合理可行.

Application of principal component analysis and cluster analysis to provincial logistics planning

A synthetic method of principal component analysis (PCA) and cluster analysis is presented to evaluate and classify the regional logistics development in provincial logistics planning. The evaluation indexes system was established, and principal component analysis was used to draw the comprehensive evaluation of the regional logistics development because it can eliminate the correlation and information overlaps lying in multi indexes. Cluster analysis was used t o classify these regions into several categories according to the new indexes obtained from PCA. The results show that this method can simplify the original com plicated problem and lead to an objective, reliable and convincing conclusion.