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Urban Sustainability Evaluation under the Modified TOPSIS Based on Grey Relational Analysis

The evaluation of urban sustainability plays a crucial role in the process of the sustainable development of cities. To decrease subjectivity and attain a comprehensive evaluation, this paper develops an evaluation method using the technique for order preference by similarity to ideal solution (TOPS...

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Detalles Bibliográficos
Autores principales: Tang, Juan, Zhu, Hong-lin, Liu, Zhi, Jia, Fu, Zheng, Xiao-xue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352120/
https://www.ncbi.nlm.nih.gov/pubmed/30658429
http://dx.doi.org/10.3390/ijerph16020256
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author Tang, Juan
Zhu, Hong-lin
Liu, Zhi
Jia, Fu
Zheng, Xiao-xue
author_facet Tang, Juan
Zhu, Hong-lin
Liu, Zhi
Jia, Fu
Zheng, Xiao-xue
author_sort Tang, Juan
collection PubMed
description The evaluation of urban sustainability plays a crucial role in the process of the sustainable development of cities. To decrease subjectivity and attain a comprehensive evaluation, this paper develops an evaluation method using the technique for order preference by similarity to ideal solution (TOPSIS). First, an evaluation index system including 39 indices and three categories (economic, social, and ecological development) is established; second, based on the index system, a modified TOPSIS, in which the entropy method is used to assign weights to each index according to its evaluation score and grey relation analysis is used to reduce the uncertainty existing in the process of evaluation, is presented to rank the sustainability level of cities. Finally, an example with the sustainability evaluation of 16 cities in the Anhui province of China is introduced to verify the effectiveness of the model.
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spelling pubmed-63521202019-02-01 Urban Sustainability Evaluation under the Modified TOPSIS Based on Grey Relational Analysis Tang, Juan Zhu, Hong-lin Liu, Zhi Jia, Fu Zheng, Xiao-xue Int J Environ Res Public Health Article The evaluation of urban sustainability plays a crucial role in the process of the sustainable development of cities. To decrease subjectivity and attain a comprehensive evaluation, this paper develops an evaluation method using the technique for order preference by similarity to ideal solution (TOPSIS). First, an evaluation index system including 39 indices and three categories (economic, social, and ecological development) is established; second, based on the index system, a modified TOPSIS, in which the entropy method is used to assign weights to each index according to its evaluation score and grey relation analysis is used to reduce the uncertainty existing in the process of evaluation, is presented to rank the sustainability level of cities. Finally, an example with the sustainability evaluation of 16 cities in the Anhui province of China is introduced to verify the effectiveness of the model. MDPI 2019-01-17 2019-01 /pmc/articles/PMC6352120/ /pubmed/30658429 http://dx.doi.org/10.3390/ijerph16020256 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tang, Juan
Zhu, Hong-lin
Liu, Zhi
Jia, Fu
Zheng, Xiao-xue
Urban Sustainability Evaluation under the Modified TOPSIS Based on Grey Relational Analysis
title Urban Sustainability Evaluation under the Modified TOPSIS Based on Grey Relational Analysis
title_full Urban Sustainability Evaluation under the Modified TOPSIS Based on Grey Relational Analysis
title_fullStr Urban Sustainability Evaluation under the Modified TOPSIS Based on Grey Relational Analysis
title_full_unstemmed Urban Sustainability Evaluation under the Modified TOPSIS Based on Grey Relational Analysis
title_short Urban Sustainability Evaluation under the Modified TOPSIS Based on Grey Relational Analysis
title_sort urban sustainability evaluation under the modified topsis based on grey relational analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352120/
https://www.ncbi.nlm.nih.gov/pubmed/30658429
http://dx.doi.org/10.3390/ijerph16020256
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