摘要
为研究编组站分类问题,运用模糊c-划分方法对编组站进行合理的空间划分,在此基础上采用模糊聚类ISODATA方法对编组站进行聚类分析,并利用划分系数和划分的平均模糊熵对聚类效果进行评价,通过实例分析,证明模糊聚类分析方法在编组站分类中的有效性,为编组站分类问题的量化提供了新的方法。
In order to research the classification of marshalling stations, the suitable spatial division is performed by using fuzzy c-division method for marshalling stations, on the basis of which the fuzzy clustering ISODATA method is used to analyze marshalling stations. Then the clustering effects are evaluated with the division coefficient and partitioned average fuzzy entropy. Finally the case study verifies the effectiveness of fuzzy clustering analysis method, which will provide a new approach for the quantitative research of marshalling station classification.
出处
《铁道运输与经济》
北大核心
2007年第6期76-78,共3页
Railway Transport and Economy
关键词
模糊聚类分析
编组站
矩阵
分类
fuzzy clustering analysis
marshalling station
matrix
classification
