Matches in SemOpenAlex for { <https://semopenalex.org/work/W4280569319> ?p ?o ?g. }
- W4280569319 endingPage "13015" @default.
- W4280569319 startingPage "12989" @default.
- W4280569319 abstract "AbstractThis study develops an Adaboost-GIS model for flood susceptibility mapping and evaluates its relative performance by undertaking a comparative assessment of the machine learning model with Multi-Criteria Decision Making (MCDM) and soft computing models integrated with GIS. An Analytic Hierarchy Process (AHP), Analytic Network Process (ANP), Fuzzy-AHP, Fuzzy-ANP and AdaBoost machine learning models were developed and integrated with GIS to classify the susceptibility of the study area. Out of 70 sample validation locations, Adaboost’s performance was the best with a 95.72% similarity match with very high and high susceptibility locations followed by F-ANP, ANP, F-AHP and AHP with 95.65%, 92.75%, 81.42% and 77.14% similarity matches, respectively. It also had the highest AUC (0.864). Thus, the Adaboost machine learning, Fuzzy computing and conventional MCDM models can be adopted by stakeholders for accurately assessing flood susceptibility, thereby fostering safe and resilient cities.Keywords: Multi-criteria decision makingGISflood hazardremote sensingflood susceptibilityfuzzy computingmachine learning Disclosure statementNo potential conflict of interest was reported by the authors.Data availability statementAll sources of data have been acknowledged in the manuscript." @default.
- W4280569319 created "2022-05-22" @default.
- W4280569319 creator A5001309696 @default.
- W4280569319 creator A5005849342 @default.
- W4280569319 creator A5008248038 @default.
- W4280569319 creator A5029465212 @default.
- W4280569319 creator A5046066483 @default.
- W4280569319 creator A5059040421 @default.
- W4280569319 creator A5077652592 @default.
- W4280569319 creator A5079592271 @default.
- W4280569319 date "2022-05-22" @default.
- W4280569319 modified "2023-10-03" @default.
- W4280569319 title "Assessment of data mining, multi-criteria decision making and fuzzy-computing techniques for spatial flood susceptibility mapping: a comparative study" @default.
- W4280569319 cites W1114923635 @default.
- W4280569319 cites W1186112364 @default.
- W4280569319 cites W1483933478 @default.
- W4280569319 cites W1806127893 @default.
- W4280569319 cites W1921765940 @default.
- W4280569319 cites W1942836393 @default.
- W4280569319 cites W1974614011 @default.
- W4280569319 cites W1975116313 @default.
- W4280569319 cites W1976662549 @default.
- W4280569319 cites W1982590625 @default.
- W4280569319 cites W1988334140 @default.
- W4280569319 cites W2000172809 @default.
- W4280569319 cites W2000779163 @default.
- W4280569319 cites W2004615188 @default.
- W4280569319 cites W2009776923 @default.
- W4280569319 cites W2019920997 @default.
- W4280569319 cites W2027386095 @default.
- W4280569319 cites W2042315239 @default.
- W4280569319 cites W2057669676 @default.
- W4280569319 cites W2068525223 @default.
- W4280569319 cites W2074011058 @default.
- W4280569319 cites W2077303586 @default.
- W4280569319 cites W2078258462 @default.
- W4280569319 cites W2088574188 @default.
- W4280569319 cites W2090292633 @default.
- W4280569319 cites W2092620885 @default.
- W4280569319 cites W2094202273 @default.
- W4280569319 cites W2118880985 @default.
- W4280569319 cites W2129119858 @default.
- W4280569319 cites W2131364892 @default.
- W4280569319 cites W2134880090 @default.
- W4280569319 cites W2139819444 @default.
- W4280569319 cites W2153725620 @default.
- W4280569319 cites W2168071265 @default.
- W4280569319 cites W2169449290 @default.
- W4280569319 cites W2177315735 @default.
- W4280569319 cites W2185471101 @default.
- W4280569319 cites W2188730558 @default.
- W4280569319 cites W2192928170 @default.
- W4280569319 cites W2219005289 @default.
- W4280569319 cites W2398388441 @default.
- W4280569319 cites W2566393066 @default.
- W4280569319 cites W2589017943 @default.
- W4280569319 cites W2592166297 @default.
- W4280569319 cites W2594352094 @default.
- W4280569319 cites W2601965012 @default.
- W4280569319 cites W2607894725 @default.
- W4280569319 cites W2741439194 @default.
- W4280569319 cites W2766447860 @default.
- W4280569319 cites W2778220100 @default.
- W4280569319 cites W2783383217 @default.
- W4280569319 cites W2793898073 @default.
- W4280569319 cites W2891187513 @default.
- W4280569319 cites W2903138841 @default.
- W4280569319 cites W2904904697 @default.
- W4280569319 cites W2905386777 @default.
- W4280569319 cites W2916915995 @default.
- W4280569319 cites W2922019787 @default.
- W4280569319 cites W2922122879 @default.
- W4280569319 cites W2925270751 @default.
- W4280569319 cites W2927539500 @default.
- W4280569319 cites W2940521045 @default.
- W4280569319 cites W2964391089 @default.
- W4280569319 cites W2965033383 @default.
- W4280569319 cites W2968862935 @default.
- W4280569319 cites W2969688345 @default.
- W4280569319 cites W2980533134 @default.
- W4280569319 cites W2981078235 @default.
- W4280569319 cites W2981581709 @default.
- W4280569319 cites W2983903323 @default.
- W4280569319 cites W2988376460 @default.
- W4280569319 cites W2992321006 @default.
- W4280569319 cites W2996089053 @default.
- W4280569319 cites W3005068239 @default.
- W4280569319 cites W3005973813 @default.
- W4280569319 cites W3006583570 @default.
- W4280569319 cites W3007523808 @default.
- W4280569319 cites W3020614853 @default.
- W4280569319 cites W3032901092 @default.
- W4280569319 cites W3032913569 @default.
- W4280569319 cites W3036595569 @default.
- W4280569319 cites W3039673966 @default.
- W4280569319 cites W3042024008 @default.
- W4280569319 cites W3081610994 @default.
- W4280569319 cites W3084249816 @default.