Programming and Arrangement Research into Regional Logistics System by Fuzzy C-Means Clustering
Publication: International Conference on Transportation Engineering 2007
Abstract
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.
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© 2007 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
ASCE Technical Topics:
- Analysis (by type)
- Artificial intelligence and machine learning
- Business management
- Client relationships
- Computer programming
- Computing in civil engineering
- Concrete
- Engineering fundamentals
- Engineering materials (by type)
- Freight transportation
- Fuzzy logic
- Geotechnical engineering
- Geotechnical investigation
- Infrastructure
- Logistics
- Materials engineering
- Mathematical functions
- Mathematics
- Matrix (mathematics)
- Practice and Profession
- Site investigation
- System analysis
- Transportation engineering
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