Division of logistics park traffic zones based on the improved fuzzy clustering method

被引：0
|
作者：
Wen H. [1 ]
Lu D. [1 ]
Wu Y. [1 ]
Zeng Q. [1 ]
机构：
[1] School of Civil Engineering and Transportation, South China University of Technology, Guangzhou
来源：
Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology | 2018年 / 50卷 / 03期
关键词：
Adjacency matrix; Distance between the class; Distance in the class; Fuzzy clustering; Logistics park traffic zones;
D O I：
10.11918/j.issn.0367-6234.201612076
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
To obtain the best classification results of logistics park, the qualitative division of logistics park traffic zones is carried out, then the weighted fuzzy similar matrix is constructed, and the adjacency matrix is used to amend the weighted fuzzy similar matrix. The improved fuzzy clustering method is employed to the clustering of merger of logistics park traffic zones. In addition, the F index is constructed to determine the optimal number of class based on the distance in the class and the distance between the class. The results show that the improved fuzzy clustering method could greatly reduce the amount of logistics park traffic zones, and it can quickly get the better logistics park traffic zones classification and avoid dividing logistics park traffic zones which are in the non-adjacent geographical position into the same class. © 2018, Editorial Board of Journal of Harbin Institute of Technology. All right reserved.
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页码：103 / 108
页数：5
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