Proceedings of the 2016 International Conference on Politics, Economics and Law (ICPEL 2016)

The Research on Low-Carbon Level of Shipping Industry Based on Fuzzy Algorithm

Authors
Yan Li, Ye Liu, Qingbo Huang
Corresponding Author
Yan Li
Available Online May 2016.
DOI
https://doi.org/10.2991/icpel-16.2016.20How to use a DOI?
Keywords
low-carbon level, fuzzy algorithm, shipping industry
Abstract
The low-carbon sea transportation is characterized by "marine shipping and emission reduction of load and unload on the ports of call". It suits the historical trend of development, and is the objective requirement of the sustainable development of China's shipping industry. The level of low-carbon sea transportation involves various factors such as technology and management, thus it requires systematic analysis and comprehensive assessment. Based on the analysis of the status quo of China's shipping industry, this article uses comprehensive fuzzy apprais-al, establishes fuzzy matrix, measures the development level of China's maritime industry and proposes countermeasures and suggestions including the aspects of adjusting industry and ener-gy structure, enhancing technology research and development, improving transport ships and increasing investment.
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Proceedings
2016 International Conference on Politics, Economics and Law (ICPEL 2016)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
May 2016
ISBN
978-94-6252-190-2
ISSN
2352-5398
DOI
https://doi.org/10.2991/icpel-16.2016.20How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yan Li
AU  - Ye Liu
AU  - Qingbo Huang
PY  - 2016/05
DA  - 2016/05
TI  - The Research on Low-Carbon Level of Shipping Industry Based on Fuzzy Algorithm
BT  - 2016 International Conference on Politics, Economics and Law (ICPEL 2016)
PB  - Atlantis Press
SP  - 85
EP  - 88
SN  - 2352-5398
UR  - https://doi.org/10.2991/icpel-16.2016.20
DO  - https://doi.org/10.2991/icpel-16.2016.20
ID  - Li2016/05
ER  -