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运用TOPSIS方法,借助Excel和地理信息系统(GIS)进行洪水易发性制图。

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

作者信息

Mitra Rajib, Das Jayanta, Kamruzzaman Md

机构信息

Department of Geography and Applied Geography, University of North Bengal, PO- North Bengal University, Darjeeling 734013, India.

Department of Geography, Rampurhat College, PO- Rampurhat, Birbhum 731224, India.

出版信息

MethodsX. 2023 Jun 15;11:102263. doi: 10.1016/j.mex.2023.102263. eCollection 2023 Dec.

DOI:10.1016/j.mex.2023.102263
PMID:37416489
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10320599/
Abstract

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.

摘要

本研究精心展示了一种简化的逼近理想解排序法(TOPSIS)多准则决策(MCDM)方法,其目的是确定正理想解和负理想解之间距离的差异。MCDM方法通过使用数学和分析方法,基于多种标准对选项进行评估。这通过消除人为偏见和主观判断,促进了更透明和客观的决策过程。通过考虑与最优情况的相对接近程度,TOPSIS考虑了理想方案和负理想方案之间的距离。本研究集中于归一化过程、理想解和反理想解的恰当确定,以及用于计算与理想最优解和理想最劣解的欧几里得距离的度量。•本研究阐述了Hwang和Yoon(1981)提出的简化TOPSIS方法。标准的分类和权重分配是根据专家意见并基于现有文献进行的。•已将TOPSIS技术与地理信息系统(GIS)恰当整合,以制作高脆弱性地区的洪水易发性地图,并对TOPSIS算法进行可视化解释。•这类调查通过该领域技术娴熟的专业人员节省了时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be05/10320599/fab89f6781fa/gr7.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be05/10320599/5d15068d5d2a/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be05/10320599/73688af6a317/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be05/10320599/7bbcf868cccf/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be05/10320599/fc90f6c0c835/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be05/10320599/fab89f6781fa/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be05/10320599/7bd374824376/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be05/10320599/a7ef4db76d84/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be05/10320599/07a2bad6731b/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be05/10320599/5d15068d5d2a/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be05/10320599/73688af6a317/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be05/10320599/7bbcf868cccf/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be05/10320599/fc90f6c0c835/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be05/10320599/fab89f6781fa/gr7.jpg

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本文引用的文献

1
A comparative assessment of flood susceptibility modelling of GIS-based TOPSIS, VIKOR, and EDAS techniques in the Sub-Himalayan foothills region of Eastern India.基于 GIS 的 TOPSIS、VIKOR 和 EDAS 技术在印度东部次喜马拉雅山麓地区洪水易感性建模的比较评估。
Environ Sci Pollut Res Int. 2023 Feb;30(6):16036-16067. doi: 10.1007/s11356-022-23168-5. Epub 2022 Sep 30.