Programming and arrangement of regional logistics system were studied by fuzzy C-means clustering. The uncertain and fuzzy features for clients to select logistics centers and exchange amount were analyzed by system analysis method. The synthetic evaluation indices were established. The problem of clients' selecting is equal to that of determining the membership values. Then we got the uncertain nonlinear programming model of logistics system. The number of logistics centers or the optimal c value was determined by using the defined rules function. The detailed selecting site and the optimal scale of every logistics centers can be determined by me total scale decomposability, the membership matrix and clustering centers. The theory and method were applied in the logistics system programming of Langfang City in China. The concrete simulation result shows its correctness and feasibility.
Programming and Arrangement Research into Regional Logistics System by Fuzzy C-Means Clustering
First International Conference on Transportation Engineering ; 2007 ; Southwest Jiaotong University, Chengdu, China
2007-07-09
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Programming and Arrangement Research into Regional Logistics System by Fuzzy C-Means Clustering
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