Cargando…
Multistage fuzzy comprehensive evaluation of landslide hazards based on a cloud model
To accurately study the risk assessment of landslide disasters, firstly, the environmental conditions of induced landslide disasters are regarded as a fuzzy system, and the landslide risk factors in the multi-level analysis system are constructed to build a multi-level fuzzy evaluation index system....
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6830815/ https://www.ncbi.nlm.nih.gov/pubmed/31689296 http://dx.doi.org/10.1371/journal.pone.0224312 |
_version_ | 1783465838738669568 |
---|---|
author | Yao, Xuelin Deng, Hongwei Zhang, Ti Qin, Yaguang |
author_facet | Yao, Xuelin Deng, Hongwei Zhang, Ti Qin, Yaguang |
author_sort | Yao, Xuelin |
collection | PubMed |
description | To accurately study the risk assessment of landslide disasters, firstly, the environmental conditions of induced landslide disasters are regarded as a fuzzy system, and the landslide risk factors in the multi-level analysis system are constructed to build a multi-level fuzzy evaluation index system. Then, the cloud model theory is introduced to improve the importance scale and membership degree involved in the evaluation process, and the multi-level fuzzy comprehensive evaluation method of landslide risk improved by a cloud model is proposed. Thus, a multi-level fuzzy evaluation cloud model for evaluating landslide risk is established. Finally, using the improved cloud model method, a multistage fuzzy comprehensive evaluation of landslide risk is conducted for the K112+210~K112 +630 section of the Long Chuan to Huaiji Highway Project in Guangdong Province. The results show that the improved cloud model can solve the problem of uncertainty in the process of landslide preparation and occurrence, greatly improve the effectiveness of landslide evaluation results, and provide an effective reference for landslide disaster prevention. |
format | Online Article Text |
id | pubmed-6830815 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-68308152019-11-14 Multistage fuzzy comprehensive evaluation of landslide hazards based on a cloud model Yao, Xuelin Deng, Hongwei Zhang, Ti Qin, Yaguang PLoS One Research Article To accurately study the risk assessment of landslide disasters, firstly, the environmental conditions of induced landslide disasters are regarded as a fuzzy system, and the landslide risk factors in the multi-level analysis system are constructed to build a multi-level fuzzy evaluation index system. Then, the cloud model theory is introduced to improve the importance scale and membership degree involved in the evaluation process, and the multi-level fuzzy comprehensive evaluation method of landslide risk improved by a cloud model is proposed. Thus, a multi-level fuzzy evaluation cloud model for evaluating landslide risk is established. Finally, using the improved cloud model method, a multistage fuzzy comprehensive evaluation of landslide risk is conducted for the K112+210~K112 +630 section of the Long Chuan to Huaiji Highway Project in Guangdong Province. The results show that the improved cloud model can solve the problem of uncertainty in the process of landslide preparation and occurrence, greatly improve the effectiveness of landslide evaluation results, and provide an effective reference for landslide disaster prevention. Public Library of Science 2019-11-05 /pmc/articles/PMC6830815/ /pubmed/31689296 http://dx.doi.org/10.1371/journal.pone.0224312 Text en © 2019 Yao et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Yao, Xuelin Deng, Hongwei Zhang, Ti Qin, Yaguang Multistage fuzzy comprehensive evaluation of landslide hazards based on a cloud model |
title | Multistage fuzzy comprehensive evaluation of landslide hazards based on a cloud model |
title_full | Multistage fuzzy comprehensive evaluation of landslide hazards based on a cloud model |
title_fullStr | Multistage fuzzy comprehensive evaluation of landslide hazards based on a cloud model |
title_full_unstemmed | Multistage fuzzy comprehensive evaluation of landslide hazards based on a cloud model |
title_short | Multistage fuzzy comprehensive evaluation of landslide hazards based on a cloud model |
title_sort | multistage fuzzy comprehensive evaluation of landslide hazards based on a cloud model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6830815/ https://www.ncbi.nlm.nih.gov/pubmed/31689296 http://dx.doi.org/10.1371/journal.pone.0224312 |
work_keys_str_mv | AT yaoxuelin multistagefuzzycomprehensiveevaluationoflandslidehazardsbasedonacloudmodel AT denghongwei multistagefuzzycomprehensiveevaluationoflandslidehazardsbasedonacloudmodel AT zhangti multistagefuzzycomprehensiveevaluationoflandslidehazardsbasedonacloudmodel AT qinyaguang multistagefuzzycomprehensiveevaluationoflandslidehazardsbasedonacloudmodel |