模糊C-均值聚类在内陆无水港选址中的应用

Applying fuzzy C-clustering to location planning of dry port

为进行内陆无水港选址研究,在内陆无水港运输模式形成及功能发展的基础上,从经济角度进行内陆无水港选址因素分析,选择合适指标建立评价指标体系,以指标体系为标准,利用模糊C-均值聚类分析将备选城市分类,选择最佳的内陆无水港建设地.实例验证表明模糊C-均值聚类分析能在内陆无水港选址中取得效果.

In order to study the location planning of dry port, by analyzing the factors influencing the location planning of dry port from the view of economics, an assessment system is set up based on the establishment and function development of dry port transport system. In this system, according to the standard of the assessment system, suitable factors are chosen, the objective cities are classified and the best depots for the locations of dry port are selected by means of fuzzy C-clustering. The result of practical example indicates the performance in applying the model.