Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)

Study on Comprehensive Evaluation of Smart Growth Cities

Authors
Cheng Wang
Corresponding Author
Cheng Wang
Available Online April 2017.
DOI
10.2991/emim-17.2017.26How to use a DOI?
Keywords
Smart growth cities; Fuzzy comprehensive evaluation; Sustainable development
Abstract

This paper studied the problem of comprehensive evaluation of smart growth cities from three dimensions of sustainable development. Concretely, an evaluation system for smart growth cities from the dimensions of sustainable development - economic, environmental and social, is constructed, then a fuzzy comprehensive evaluation method is presented to evaluate the development level of smart growth cities, and an application example is given to highlight the implementation, availability, and feasibility of the proposed comprehensive evaluation method.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
Series
Advances in Computer Science Research
Publication Date
April 2017
ISBN
10.2991/emim-17.2017.26
ISSN
2352-538X
DOI
10.2991/emim-17.2017.26How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Cheng Wang
PY  - 2017/04
DA  - 2017/04
TI  - Study on Comprehensive Evaluation of Smart Growth Cities
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 122
EP  - 125
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.26
DO  - 10.2991/emim-17.2017.26
ID  - Wang2017/04
ER  -