Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/80395
Title: Quantitative entropy weight TOPSIS evaluation of sustainable Chinese wind power developments
Authors: Zheng, H 
Si, D
Wang, W
Wang, R
Issue Date: 2018
Publisher: Hindawi Publishing Corporation
Source: Mathematical problems in engineering, 2018, v. 2018, 6965439 How to cite?
Journal: Mathematical problems in engineering 
Abstract: Based on a Driving Forces-Pressure-State-Impact-Response (DPSIR) model, this paper takes a macroenvironmental, socioeconomic perspective to build an evaluation model to address sustainable Chinese wind power developments and to quantize the development results. From a combination of entropy weight and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method, the sustainable wind power development level in China is examined, the development trends analyzed, and the trends and underlying laws identified, all of which provides new information for Chinese wind power sustainability. It was found that Chinese sustainable socioeconomic wind power development has been growing year on year. However, the wind power ecological sustainability fell and then rose slowly, indicating that these subsystems both influence the sustainable development of wind power.
URI: http://hdl.handle.net/10397/80395
ISSN: 1024-123X
EISSN: 1563-5147
DOI: 10.1155/2018/6965439
Rights: Copyright © 2018 Hongyan Zheng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The following publication: Hongyan Zheng, Dongyang Si, Wei Wang, and Ruining Wang, “Quantitative Entropy Weight TOPSIS Evaluation of Sustainable Chinese Wind Power Developments,” Mathematical Problems in Engineering, vol. 2018, Article ID 6965439, 12 pages, 2018 is available at https://doi.org/10.1155/2018/6965439.
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