Research into Merchant Logistics Center Scale Determining By Fuzzy Clustering

Scale determining of the merchant logistics centers can be studied under the discussion of the game of the suppliers, logistics centers proprietors and consumers by fuzzy c-means clustering. Using complex adaptive system theory we analyzed the game relation among the suppliers, the merchant logistics centers and the consumers. To consumers random sample was used combined with population distribution and district partition of our research city. By fuzzy c-means clustering analysis the families of the city can be assigned to different groups according to the eigenvectors such as the family income, consumption payout. The uncertain game model with three-level was established. Particle swarm optimization with multi-level programming was adopted in the concrete algorithm course for solution. The concrete results are better than the results without fuzzy clustering analysis and show that the thought and the methods are correctness and feasibility