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Data in flood risk assessment of metro systems in a subsiding environment using the interval FAHP–FCA approach
Floods in the metro system have caused catastrophic damages in mega-cities, especially in subsiding environment. This data in brief gives a detailed description for the calculation of judgment matrixes during decision making process for the flood risk assessment of the metro system. The data source...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811962/ https://www.ncbi.nlm.nih.gov/pubmed/31667235 http://dx.doi.org/10.1016/j.dib.2019.104468 |
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author | Lyu, Hai-Min Shen, Shui-Long Zhou, Annan Zhou, Wan-Huan |
author_facet | Lyu, Hai-Min Shen, Shui-Long Zhou, Annan Zhou, Wan-Huan |
author_sort | Lyu, Hai-Min |
collection | PubMed |
description | Floods in the metro system have caused catastrophic damages in mega-cities, especially in subsiding environment. This data in brief gives a detailed description for the calculation of judgment matrixes during decision making process for the flood risk assessment of the metro system. The data source of the assessment factors is provided. The analytical hierarchy process (AHP) and interval fuzzy AHP (FAHP) are used to calibrate the weights of assessment factors. The fuzzy clustering analysis (FCA) method is used to modify the weights obtained from AHP and interval FAHP. The data presented herein was used for the article, titled “Flood risk assessment of metro systems in a subsiding environment using the interval FAHP–FCA approach” Lyu et al. (2019) [1]. |
format | Online Article Text |
id | pubmed-6811962 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-68119622019-10-30 Data in flood risk assessment of metro systems in a subsiding environment using the interval FAHP–FCA approach Lyu, Hai-Min Shen, Shui-Long Zhou, Annan Zhou, Wan-Huan Data Brief Engineering Floods in the metro system have caused catastrophic damages in mega-cities, especially in subsiding environment. This data in brief gives a detailed description for the calculation of judgment matrixes during decision making process for the flood risk assessment of the metro system. The data source of the assessment factors is provided. The analytical hierarchy process (AHP) and interval fuzzy AHP (FAHP) are used to calibrate the weights of assessment factors. The fuzzy clustering analysis (FCA) method is used to modify the weights obtained from AHP and interval FAHP. The data presented herein was used for the article, titled “Flood risk assessment of metro systems in a subsiding environment using the interval FAHP–FCA approach” Lyu et al. (2019) [1]. Elsevier 2019-09-03 /pmc/articles/PMC6811962/ /pubmed/31667235 http://dx.doi.org/10.1016/j.dib.2019.104468 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Engineering Lyu, Hai-Min Shen, Shui-Long Zhou, Annan Zhou, Wan-Huan Data in flood risk assessment of metro systems in a subsiding environment using the interval FAHP–FCA approach |
title | Data in flood risk assessment of metro systems in a subsiding environment using the interval FAHP–FCA approach |
title_full | Data in flood risk assessment of metro systems in a subsiding environment using the interval FAHP–FCA approach |
title_fullStr | Data in flood risk assessment of metro systems in a subsiding environment using the interval FAHP–FCA approach |
title_full_unstemmed | Data in flood risk assessment of metro systems in a subsiding environment using the interval FAHP–FCA approach |
title_short | Data in flood risk assessment of metro systems in a subsiding environment using the interval FAHP–FCA approach |
title_sort | data in flood risk assessment of metro systems in a subsiding environment using the interval fahp–fca approach |
topic | Engineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811962/ https://www.ncbi.nlm.nih.gov/pubmed/31667235 http://dx.doi.org/10.1016/j.dib.2019.104468 |
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