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Apr 26, 2012
Fuzzy Comprehensive Evaluation of Railway Passenger's Satisfaction Degree Based on Entropy Weight
Authors: Zhiliang Lai [email protected], Guohua Zhou, and Lipeng PengAuthor Affiliations
Publication: International Conference on Transportation Engineering 2009
Abstract
Passenger's satisfaction degree of business service provided by railway station is very important to the railway station's reputation and future development. After synthetically considered many factors of railway passenger's satisfaction degree, we build an evaluation index system. Then, present a fuzzy comprehensive evaluation of Railway Passenger's Satisfaction degree based on entropy weight theory, and educe the evaluation index's weight. This method can reduce the random and limits of traditional evaluation made by subjectively.
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© 2009 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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ASCE Technical Topics:
- Artificial intelligence and machine learning
- Computer programming
- Computing in civil engineering
- Engineering mechanics
- Entropy methods
- Fuzzy logic
- Infrastructure
- Passengers
- Public transportation
- Rail transportation
- Railroad stations
- Terminal facilities
- Thermodynamics
- Transportation engineering
- Transportation management
Authors
Affiliations
College of logistics, Southwest Jiaotong University, Chengdu, China, 610031;. E-mail: [email protected]
Guohua Zhou
College of economy and management, Southwest Jiaotong University, Chengdu
Lipeng Peng
Department of economy and management, Chongqing University of arts and sciences, Chongqing.
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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.