Comprehensive Evaluation of Low-Carbon City in China Using Intuitionistic Fuzzy Set Theory

Lei Wen; Qian Gao

doi:doi:10.11648/j.ijepp.20130104.14

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Comprehensive Evaluation of Low-Carbon City in China Using Intuitionistic Fuzzy Set Theory

Lei Wen, Qian Gao

Published in International Journal of Environmental Protection and Policy (Volume 1, Issue 4)

Received: 6 October 2013 Published: 10 November 2013

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Abstract

Low carbon city is the direction of the development of city in the future. Firstly, this paper constructed the comprehensive evaluation index system of the low carbon economy city that including six primary indexes and 12 secondary indexes by summarizing the recent research of low-carbon connotation and low-carbon evaluation index. These indexes are low-carbon economy, low-carbon energy, low-carbon construction, low-carbon traffic, low-carbon society and low-carbon policy. And then, we discussed the development of low-carbon economy of Beijing, Shanghai and Baoding by using intuitionistic fuzzy set approach for urban low-carbon economy comprehensive evaluation index system. The result that Beijing first and Shanghai second and the last is Baoding, that have important practical significance to regulate and guide the construction of low-carbon cities.

Published in	International Journal of Environmental Protection and Policy (Volume 1, Issue 4)
DOI	10.11648/j.ijepp.20130104.14
Page(s)	68-75
Creative Commons	This is an Open Access article, 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 or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2013. Published by Science Publishing Group

Keywords

Evaluation of Low-Carbon City, Intuitionistic Fuzzy Sets, Fuzzy Evaluation Method

References

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[2]	Dai YX. A study on low-carbon city development: Concept formation and measurement setting. Mod Urban Res 2009; (11): 7–12.
[3]	Fu Y, Wang YL, Li D. The studies on development paths of low-carbon cities. Impact Sci Soc 2008; (2): 5–11.
[4]	Hu Dali, Ding Shuai. Small low-carbon economic evaluation index system. Science and Technology Progress and Policy, 2010 (22) :160-164.
[5]	Liu ZL, Dai YX, Dong CG, Qi Y. Low-carbon city: Concepts, international practice and implications for China. Urban Stud 2009; 16(6): 1–7, 12.
[6]	National Development and Reform Commission (NDRC). (2010). The notice of piloting low-carbon provinces and low-carbon cities. http://www.sdpc.gov.cn/
[7]	Xiao-yan Li. An Exploration of Low-carbon Economy of Provinces Based on Fuzzy Analytic Hierarchy Process[J]. East China Economic Management 2010(2), 24-28.zcfb/zcfbtz/2010tz/t20100810_365264.htm
[8]	Ye Yichang, Huang Mingfeng. Low-carbon economic developmentindex system and empirical evaluation. Statistics and Decision, 2011 (08):47-49.
[9]	Yuan XL, Zhong YY. The practice and system construction of China’s low carbon city. Urban Stud 2010; 17(5): 42–7, 8. (in Chinese)
[10]	Zadeh. L. A. Fuzzy sets[J]. Inform. And Control. , 1965, 18: 338-356.
[11]	Zhuang, G.Y, Pan, J.H, Zhu, S.X. The content of low-carbon economy and comprehensive evaluation index system. Economic Perspectives, 2011 (01):132-136.

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APA Style

Lei Wen, Qian Gao. (2013). Comprehensive Evaluation of Low-Carbon City in China Using Intuitionistic Fuzzy Set Theory. International Journal of Environmental Protection and Policy, 1(4), 68-75. https://doi.org/10.11648/j.ijepp.20130104.14

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ACS Style

Lei Wen; Qian Gao. Comprehensive Evaluation of Low-Carbon City in China Using Intuitionistic Fuzzy Set Theory. Int. J. Environ. Prot. Policy 2013, 1(4), 68-75. doi: 10.11648/j.ijepp.20130104.14

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AMA Style

Lei Wen, Qian Gao. Comprehensive Evaluation of Low-Carbon City in China Using Intuitionistic Fuzzy Set Theory. Int J Environ Prot Policy. 2013;1(4):68-75. doi: 10.11648/j.ijepp.20130104.14

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@article{10.11648/j.ijepp.20130104.14,
  author = {Lei Wen and Qian Gao},
  title = {Comprehensive Evaluation of Low-Carbon City in China Using Intuitionistic Fuzzy Set Theory},
  journal = {International Journal of Environmental Protection and Policy},
  volume = {1},
  number = {4},
  pages = {68-75},
  doi = {10.11648/j.ijepp.20130104.14},
  url = {https://doi.org/10.11648/j.ijepp.20130104.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepp.20130104.14},
  abstract = {Low carbon city is the direction of the development of city in the future. Firstly, this paper constructed the comprehensive evaluation index system of the low carbon economy city that including six primary indexes and 12 secondary indexes by summarizing the recent research of low-carbon connotation and low-carbon evaluation index. These indexes are low-carbon economy, low-carbon energy, low-carbon construction, low-carbon traffic, low-carbon society and low-carbon policy. And then, we discussed the development of low-carbon economy of Beijing, Shanghai and Baoding by using intuitionistic fuzzy set approach for urban low-carbon economy comprehensive evaluation index system. The result that Beijing first and Shanghai second and the last is Baoding, that have important practical significance to regulate and guide the construction of low-carbon cities.},
 year = {2013}
}

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TY  - JOUR
T1  - Comprehensive Evaluation of Low-Carbon City in China Using Intuitionistic Fuzzy Set Theory
AU  - Lei Wen
AU  - Qian Gao
Y1  - 2013/11/10
PY  - 2013
N1  - https://doi.org/10.11648/j.ijepp.20130104.14
DO  - 10.11648/j.ijepp.20130104.14
T2  - International Journal of Environmental Protection and Policy
JF  - International Journal of Environmental Protection and Policy
JO  - International Journal of Environmental Protection and Policy
SP  - 68
EP  - 75
PB  - Science Publishing Group
SN  - 2330-7536
UR  - https://doi.org/10.11648/j.ijepp.20130104.14
AB  - Low carbon city is the direction of the development of city in the future. Firstly, this paper constructed the comprehensive evaluation index system of the low carbon economy city that including six primary indexes and 12 secondary indexes by summarizing the recent research of low-carbon connotation and low-carbon evaluation index. These indexes are low-carbon economy, low-carbon energy, low-carbon construction, low-carbon traffic, low-carbon society and low-carbon policy. And then, we discussed the development of low-carbon economy of Beijing, Shanghai and Baoding by using intuitionistic fuzzy set approach for urban low-carbon economy comprehensive evaluation index system. The result that Beijing first and Shanghai second and the last is Baoding, that have important practical significance to regulate and guide the construction of low-carbon cities.
VL  - 1
IS  - 4
ER  -

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Author Information

Lei Wen

Department of Economics and Management, North China Electric Power University, Baoding, Hebei 071003, China
Qian Gao

Department of Economics and Management, North China Electric Power University, Baoding, Hebei 071003, China

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APA Style

Lei Wen, Qian Gao. (2013). Comprehensive Evaluation of Low-Carbon City in China Using Intuitionistic Fuzzy Set Theory. International Journal of Environmental Protection and Policy, 1(4), 68-75. https://doi.org/10.11648/j.ijepp.20130104.14

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ACS Style

Lei Wen; Qian Gao. Comprehensive Evaluation of Low-Carbon City in China Using Intuitionistic Fuzzy Set Theory. Int. J. Environ. Prot. Policy 2013, 1(4), 68-75. doi: 10.11648/j.ijepp.20130104.14

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AMA Style

Lei Wen, Qian Gao. Comprehensive Evaluation of Low-Carbon City in China Using Intuitionistic Fuzzy Set Theory. Int J Environ Prot Policy. 2013;1(4):68-75. doi: 10.11648/j.ijepp.20130104.14

Copy | Download

@article{10.11648/j.ijepp.20130104.14,
  author = {Lei Wen and Qian Gao},
  title = {Comprehensive Evaluation of Low-Carbon City in China Using Intuitionistic Fuzzy Set Theory},
  journal = {International Journal of Environmental Protection and Policy},
  volume = {1},
  number = {4},
  pages = {68-75},
  doi = {10.11648/j.ijepp.20130104.14},
  url = {https://doi.org/10.11648/j.ijepp.20130104.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepp.20130104.14},
  abstract = {Low carbon city is the direction of the development of city in the future. Firstly, this paper constructed the comprehensive evaluation index system of the low carbon economy city that including six primary indexes and 12 secondary indexes by summarizing the recent research of low-carbon connotation and low-carbon evaluation index. These indexes are low-carbon economy, low-carbon energy, low-carbon construction, low-carbon traffic, low-carbon society and low-carbon policy. And then, we discussed the development of low-carbon economy of Beijing, Shanghai and Baoding by using intuitionistic fuzzy set approach for urban low-carbon economy comprehensive evaluation index system. The result that Beijing first and Shanghai second and the last is Baoding, that have important practical significance to regulate and guide the construction of low-carbon cities.},
 year = {2013}
}

Copy | Download

TY  - JOUR
T1  - Comprehensive Evaluation of Low-Carbon City in China Using Intuitionistic Fuzzy Set Theory
AU  - Lei Wen
AU  - Qian Gao
Y1  - 2013/11/10
PY  - 2013
N1  - https://doi.org/10.11648/j.ijepp.20130104.14
DO  - 10.11648/j.ijepp.20130104.14
T2  - International Journal of Environmental Protection and Policy
JF  - International Journal of Environmental Protection and Policy
JO  - International Journal of Environmental Protection and Policy
SP  - 68
EP  - 75
PB  - Science Publishing Group
SN  - 2330-7536
UR  - https://doi.org/10.11648/j.ijepp.20130104.14
AB  - Low carbon city is the direction of the development of city in the future. Firstly, this paper constructed the comprehensive evaluation index system of the low carbon economy city that including six primary indexes and 12 secondary indexes by summarizing the recent research of low-carbon connotation and low-carbon evaluation index. These indexes are low-carbon economy, low-carbon energy, low-carbon construction, low-carbon traffic, low-carbon society and low-carbon policy. And then, we discussed the development of low-carbon economy of Beijing, Shanghai and Baoding by using intuitionistic fuzzy set approach for urban low-carbon economy comprehensive evaluation index system. The result that Beijing first and Shanghai second and the last is Baoding, that have important practical significance to regulate and guide the construction of low-carbon cities.
VL  - 1
IS  - 4
ER  -

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