Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society

The Evaluation of City’s Low-carbon Development Based on the Fuzzy Analytical Hierarchy Process

Authors
Jinzhao An
Corresponding Author
Jinzhao An
Available Online April 2016.
DOI
https://doi.org/10.2991/emim-16.2016.87How to use a DOI?
Keywords
Fuzzy synthetically evaluation; Low carbon city; Index system
Abstract
First, we analyze the low carbon city’s evaluation index systems in the relative researches, and utilize the analytical hierarchy process to study the factors of low carbon city development. The evaluation index system’s first grade indicator is composed of five indicators. They are energy saving, emission reduction, economic development, resource carrying capacity, and living quality. The content of these first grade indicators is analyzed in details. Then the evaluation index system of low carbon city is built. At last, the weighting factors of the first grade indicators are got by analytical hierarchy process, the evaluation matrixes are got by fuzzy mathematical method, and then the synthetically evaluation model is established by the weighting factors and the evaluation matrixes. This paper provides a good way to optimize the low carbon city development decision with quantitative and qualitative research means.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
6th International Conference on Electronic, Mechanical, Information and Management Society
Part of series
Advances in Computer Science Research
Publication Date
April 2016
ISBN
978-94-6252-176-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/emim-16.2016.87How 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  - Jinzhao An
PY  - 2016/04
DA  - 2016/04
TI  - The Evaluation of City’s Low-carbon Development Based on the Fuzzy Analytical Hierarchy Process
BT  - 6th International Conference on Electronic, Mechanical, Information and Management Society
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-16.2016.87
DO  - https://doi.org/10.2991/emim-16.2016.87
ID  - An2016/04
ER  -