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Multi-Index Evaluation for Flood Disaster from Sustainable Perspective: A Case Study of Xinjiang in China

The floods have undermined the sustainable construction of cities because of their sudden and destruction. To reduce the losses caused by floods, it is necessary to make a reasonable evaluation for historical floods and provide scientific guidance for future precaution. Previous research mainly used...

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Autores principales: Dou, Yudan, Xue, Xiaolong, Zhao, Zebin, Luo, Xiaowei, Ji, Ankang, Luo, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163942/
https://www.ncbi.nlm.nih.gov/pubmed/30208662
http://dx.doi.org/10.3390/ijerph15091983
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author Dou, Yudan
Xue, Xiaolong
Zhao, Zebin
Luo, Xiaowei
Ji, Ankang
Luo, Ting
author_facet Dou, Yudan
Xue, Xiaolong
Zhao, Zebin
Luo, Xiaowei
Ji, Ankang
Luo, Ting
author_sort Dou, Yudan
collection PubMed
description The floods have undermined the sustainable construction of cities because of their sudden and destruction. To reduce the losses caused by floods, it is necessary to make a reasonable evaluation for historical floods and provide scientific guidance for future precaution. Previous research mainly used subjective/objective weights or barely made static analysis without considering the uncertainty and ambiguity of floods. Therefore, this study proposed a variable fuzzy recognition model, based on combined weights, to evaluate floods, including the determination of index weights and the choice of evaluation model. To make the index weights reflect both subjective experience and objective data, the combined weights were proposed and calculated based on the principle of minimum identification information. Then, the relative membership degree matrix and evaluation results can be worked out by the variable fuzzy recognition model. Conclusions indicated that the combined weights were more convincing than simply subjective or objective weights. Moreover, the variable fuzzy recognition model, by changing model parameters, got stable evaluation results of the sample data. Therefore, the model can improve the credibility of evaluation and the conclusions can provide reasonable suggestions for management departments.
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spelling pubmed-61639422018-10-12 Multi-Index Evaluation for Flood Disaster from Sustainable Perspective: A Case Study of Xinjiang in China Dou, Yudan Xue, Xiaolong Zhao, Zebin Luo, Xiaowei Ji, Ankang Luo, Ting Int J Environ Res Public Health Article The floods have undermined the sustainable construction of cities because of their sudden and destruction. To reduce the losses caused by floods, it is necessary to make a reasonable evaluation for historical floods and provide scientific guidance for future precaution. Previous research mainly used subjective/objective weights or barely made static analysis without considering the uncertainty and ambiguity of floods. Therefore, this study proposed a variable fuzzy recognition model, based on combined weights, to evaluate floods, including the determination of index weights and the choice of evaluation model. To make the index weights reflect both subjective experience and objective data, the combined weights were proposed and calculated based on the principle of minimum identification information. Then, the relative membership degree matrix and evaluation results can be worked out by the variable fuzzy recognition model. Conclusions indicated that the combined weights were more convincing than simply subjective or objective weights. Moreover, the variable fuzzy recognition model, by changing model parameters, got stable evaluation results of the sample data. Therefore, the model can improve the credibility of evaluation and the conclusions can provide reasonable suggestions for management departments. MDPI 2018-09-11 2018-09 /pmc/articles/PMC6163942/ /pubmed/30208662 http://dx.doi.org/10.3390/ijerph15091983 Text en © 2018 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
Dou, Yudan
Xue, Xiaolong
Zhao, Zebin
Luo, Xiaowei
Ji, Ankang
Luo, Ting
Multi-Index Evaluation for Flood Disaster from Sustainable Perspective: A Case Study of Xinjiang in China
title Multi-Index Evaluation for Flood Disaster from Sustainable Perspective: A Case Study of Xinjiang in China
title_full Multi-Index Evaluation for Flood Disaster from Sustainable Perspective: A Case Study of Xinjiang in China
title_fullStr Multi-Index Evaluation for Flood Disaster from Sustainable Perspective: A Case Study of Xinjiang in China
title_full_unstemmed Multi-Index Evaluation for Flood Disaster from Sustainable Perspective: A Case Study of Xinjiang in China
title_short Multi-Index Evaluation for Flood Disaster from Sustainable Perspective: A Case Study of Xinjiang in China
title_sort multi-index evaluation for flood disaster from sustainable perspective: a case study of xinjiang in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163942/
https://www.ncbi.nlm.nih.gov/pubmed/30208662
http://dx.doi.org/10.3390/ijerph15091983
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