Chapter
Apr 26, 2012
Application of Entropy Fuzzy Matter Element Model in Evaluation of Logistics Development Capacity
Publication: ICTE 2011
Abstract
Based on the fuzzy matter element model and the combination of entropy weight and fuzzy matter-element model, this paper established a comprehensive evaluation model by taking the western 11 provinces in China as an example. Through computing Euclid approach degree, the reorganization and grade classification were acquired for the assessment of the state of regional logistics in the western 11 provinces. The result shows that the model is easy, feasible, objective and accurate which offers a new kind of effective way for the comprehensive evaluation of logistics development.
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Copyright
© 2011 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Artificial intelligence and machine learning
- Computer programming
- Computing in civil engineering
- Engineering fundamentals
- Engineering mechanics
- Entropy methods
- Freight transportation
- Fuzzy logic
- Infrastructure
- Logistics
- Model accuracy
- Models (by type)
- Supply chain management
- Thermodynamics
- Transportation engineering
Authors
Affiliations
The School of Economics and Management, Chongqing Three Gorges University, Chongqing 404000; and College of Traffic & Transportation, Southwest Jiaotong University, Sichuan, 610031.E-mail: [email protected], [email protected]
Yongjian Lang
The School of Economics and Management, Chongqing Three Gorges University, Chongqing 404000
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.