PMID- 37416489
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230718
IS  - 2215-0161 (Print)
IS  - 2215-0161 (Electronic)
IS  - 2215-0161 (Linking)
VI  - 11
DP  - 2023 Dec
TI  - Application of TOPSIS method for flood susceptibility mapping using Excel and 
      GIS.
PG  - 102263
LID - 10.1016/j.mex.2023.102263 [doi]
LID - 102263
AB  - 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.
CI  - (c) 2023 Published by Elsevier B.V.
FAU - Mitra, Rajib
AU  - Mitra R
AD  - Department of Geography and Applied Geography, University of North Bengal, PO- 
      North Bengal University, Darjeeling 734013, India.
FAU - Das, Jayanta
AU  - Das J
AD  - Department of Geography, Rampurhat College, PO- Rampurhat, Birbhum 731224, India.
FAU - Kamruzzaman, Md
AU  - Kamruzzaman M
AD  - Institute of Bangladesh Studies, University of Rajshahi, Bangladesh.
LA  - eng
PT  - Journal Article
DEP - 20230615
PL  - Netherlands
TA  - MethodsX
JT  - MethodsX
JID - 101639829
PMC - PMC10320599
OTO - NOTNLM
OT  - ArcGIS
OT  - Flood susceptibility mapping
OT  - GIS
OT  - MCDM
OT  - Performance score
OT  - TOPSIS
COIS- The authors declare that they have no known competing financial interests or 
      personal relationships that could have appeared to influence the work reported in 
      this paper.
EDAT- 2023/07/07 06:42
MHDA- 2023/07/07 06:43
PMCR- 2023/06/15
CRDT- 2023/07/07 04:06
PHST- 2023/05/12 00:00 [received]
PHST- 2023/06/14 00:00 [accepted]
PHST- 2023/07/07 06:43 [medline]
PHST- 2023/07/07 06:42 [pubmed]
PHST- 2023/07/07 04:06 [entrez]
PHST- 2023/06/15 00:00 [pmc-release]
AID - S2215-0161(23)00260-1 [pii]
AID - 102263 [pii]
AID - 10.1016/j.mex.2023.102263 [doi]
PST - epublish
SO  - MethodsX. 2023 Jun 15;11:102263. doi: 10.1016/j.mex.2023.102263. eCollection 2023 
      Dec.