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     Research Journal of Applied Sciences, Engineering and Technology


Low Carbon Supply Chain's Performance Evaluation Based on Entropy Method and Fuzzy Comprehensive Evaluation Method

1, 2Xu Xu, 1Liu Wei and 3Pei-hua Wang
1Institute of Transportation, Shanghai Maritime University, Shanghai 201306, China
2Department of Logistics Management, Shanghai Dianji University, Shanghai 201306, China
3College of Information Technology, Shanghai Ocean University, Shanghai 201306, China
Research Journal of Applied Sciences, Engineering and Technology  2013  4:701-705
http://dx.doi.org/10.19026/rjaset.6.4184  |  © The Author(s) 2013
Received: September 17, 2012  |  Accepted: November 13, 2012  |  Published: June 20, 2013

Abstract

This study constructed a performance evaluation index system of low carbon supply chain from the economic, resources and environment. This index system highlights the environmental value orientation and green culture technology evaluation. On this basis, uses entropy value method to definite the index system of index weigh and uses the fuzzy comprehensive evaluation method to establish the evaluation model. It overcomes the respective faults of the entropy value method and fuzzy comprehensive evaluation method and makes low carbon supply chain performance evaluation more scientific and accurate. Finally, the model was verified analysis.

Keywords:

Entropy method, fuzzy comprehensive evaluation method, low carbon supply chain, performance evaluation,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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