Cargando…

Application of TOPSIS method for flood susceptibility mapping using Excel and GIS

This study elaborately manifests a simplified Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) multicriteria decision-making (MCDM) approach that goals to determine the disparity among the distances between the positive and negative ideal solutions. MCDM methods evaluate optio...

Descripción completa

Detalles Bibliográficos
Autores principales: Mitra, Rajib, Das, Jayanta, Kamruzzaman, Md.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320599/
https://www.ncbi.nlm.nih.gov/pubmed/37416489
http://dx.doi.org/10.1016/j.mex.2023.102263
_version_ 1785068476623224832
author Mitra, Rajib
Das, Jayanta
Kamruzzaman, Md.
author_facet Mitra, Rajib
Das, Jayanta
Kamruzzaman, Md.
author_sort Mitra, Rajib
collection PubMed
description This study elaborately manifests a simplified Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) multicriteria decision-making (MCDM) approach that goals to determine the disparity among the distances between the positive and negative ideal solutions. MCDM methods evaluate options based on a variety of criteria by using mathematical and analytical methodologies. This promotes a more transparent and objective decision-making process by removing human biases and subjective judgements. By considering the comparative proximity to the optimal situation, TOPSIS considers the distances between the ideal and the negative-ideal alternatives. This study has concentrated on the normalization process, the appropriate determination of the ideal and the anti-ideal solution, and the metric utilized to compute the euclidean distances from the ideal best and the ideal worst. • This study expresses the simplified TOPSIS methodology as stated by Hwang and Yoon (1981). The categorization and weight assignments of the criteria have been executed from the expert's opinion and based on existing literatures. • Integration of the TOPSIS technique with GIS has been properly performed for the production of a flood susceptibility map of a highly vulnerable region and visual interpretation of the TOPSIS algorithm. • This kind of investigation saved time by sufficiently skilled specialized personnel in this field.
format Online
Article
Text
id pubmed-10320599
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-103205992023-07-06 Application of TOPSIS method for flood susceptibility mapping using Excel and GIS Mitra, Rajib Das, Jayanta Kamruzzaman, Md. MethodsX Earth and Planetary Science This study elaborately manifests a simplified Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) multicriteria decision-making (MCDM) approach that goals to determine the disparity among the distances between the positive and negative ideal solutions. MCDM methods evaluate options based on a variety of criteria by using mathematical and analytical methodologies. This promotes a more transparent and objective decision-making process by removing human biases and subjective judgements. By considering the comparative proximity to the optimal situation, TOPSIS considers the distances between the ideal and the negative-ideal alternatives. This study has concentrated on the normalization process, the appropriate determination of the ideal and the anti-ideal solution, and the metric utilized to compute the euclidean distances from the ideal best and the ideal worst. • This study expresses the simplified TOPSIS methodology as stated by Hwang and Yoon (1981). The categorization and weight assignments of the criteria have been executed from the expert's opinion and based on existing literatures. • Integration of the TOPSIS technique with GIS has been properly performed for the production of a flood susceptibility map of a highly vulnerable region and visual interpretation of the TOPSIS algorithm. • This kind of investigation saved time by sufficiently skilled specialized personnel in this field. Elsevier 2023-06-15 /pmc/articles/PMC10320599/ /pubmed/37416489 http://dx.doi.org/10.1016/j.mex.2023.102263 Text en © 2023 Published by Elsevier B.V. https://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 Earth and Planetary Science
Mitra, Rajib
Das, Jayanta
Kamruzzaman, Md.
Application of TOPSIS method for flood susceptibility mapping using Excel and GIS
title Application of TOPSIS method for flood susceptibility mapping using Excel and GIS
title_full Application of TOPSIS method for flood susceptibility mapping using Excel and GIS
title_fullStr Application of TOPSIS method for flood susceptibility mapping using Excel and GIS
title_full_unstemmed Application of TOPSIS method for flood susceptibility mapping using Excel and GIS
title_short Application of TOPSIS method for flood susceptibility mapping using Excel and GIS
title_sort application of topsis method for flood susceptibility mapping using excel and gis
topic Earth and Planetary Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320599/
https://www.ncbi.nlm.nih.gov/pubmed/37416489
http://dx.doi.org/10.1016/j.mex.2023.102263
work_keys_str_mv AT mitrarajib applicationoftopsismethodforfloodsusceptibilitymappingusingexcelandgis
AT dasjayanta applicationoftopsismethodforfloodsusceptibilitymappingusingexcelandgis
AT kamruzzamanmd applicationoftopsismethodforfloodsusceptibilitymappingusingexcelandgis