Division of logistics park traffic zones based on the improved fuzzy clustering method
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(School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China)

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U491

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    Abstract:

    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.

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History
  • Received:December 14,2016
  • Revised:
  • Adopted:
  • Online: June 14,2018
  • Published:
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