WEN Huiying, LU Deyou, WU Yaping, et al. Division of logistics park traffic zones based on the improved fuzzy clustering method[J]. 2018, 50(3): 2018-3.
DOI:
WEN Huiying, LU Deyou, WU Yaping, et al. Division of logistics park traffic zones based on the improved fuzzy clustering method[J]. 2018, 50(3): 2018-3.DOI: 10.11918/j.issn.0367-6234.201612076.
Division of logistics park traffic zones based on the improved fuzzy clustering method
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.