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• W2970297916 abstract "Since it is not possible to determine the exact time of a natural disaster’s occurrence and the amount of physical and financial damage on humans or the environment resulting from their event, decision-makers need to identify areas with potential vulnerability in order to reduce future losses. In this paper, a GIS-based open source software entitled Seismic-Related Vulnerability Calculation Software (SEVUCAS), based on the Step-wise Weight Assessment Ratio Analysis (SWARA) method and geographic information system, has been developed to assess seismic vulnerability by considering four groups of criteria (i.e., geotechnical, structural, socio-economic, and physical distance to needed facilities and away from dangerous facilities). The software was developed in C# language using ArcGIS Engine functions, which provide enhanced visualization as well as user-friendly and automatic software for the seismic vulnerability assessment of buildings. Weighting of the criteria (indicators) and alternatives (sub-indicators) was done using SWARA. Also, two interpolation methods based on a radial basis function (RBF) and teaching–learning-based optimization (TLBO) were used to optimize the weights of the criteria and the classes of each alternative as well. After weighing the criteria and alternatives, the weighted overlay analysis was used to determine the final vulnerability map in the form of contours and statistical data. The difference between this software and similar ones is that people with a low level of knowledge in the area of earthquake crisis management can use it to determine and estimate the seismic vulnerabilities of their houses. This visualized operational forecasting software provides an applicable tool for both government and people to make quick and correct decisions to determine higher priority structures for seismic retrofitting implementation." @default.
• W2970297916 created "2019-09-05" @default.
• W2970297916 creator A5006705342 @default.
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• W2970297916 date "2019-08-24" @default.
• W2970297916 modified "2023-10-17" @default.
• W2970297916 title "SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment" @default.
• W2970297916 cites W1594022566 @default.
• W2970297916 cites W1965824488 @default.
• W2970297916 cites W1976362881 @default.
• W2970297916 cites W1979156120 @default.
• W2970297916 cites W1981976602 @default.
• W2970297916 cites W1985726205 @default.
• W2970297916 cites W1988084926 @default.
• W2970297916 cites W1989638365 @default.
• W2970297916 cites W1990954110 @default.
• W2970297916 cites W1998532807 @default.
• W2970297916 cites W1999284878 @default.
• W2970297916 cites W2000879899 @default.
• W2970297916 cites W2002011470 @default.
• W2970297916 cites W2006789054 @default.
• W2970297916 cites W2016999455 @default.
• W2970297916 cites W2020516950 @default.
• W2970297916 cites W2034093666 @default.
• W2970297916 cites W2039594018 @default.
• W2970297916 cites W2054036854 @default.
• W2970297916 cites W2056258586 @default.
• W2970297916 cites W2059141665 @default.
• W2970297916 cites W2063573055 @default.
• W2970297916 cites W2064242997 @default.
• W2970297916 cites W2068386683 @default.
• W2970297916 cites W2070728363 @default.
• W2970297916 cites W2070916281 @default.
• W2970297916 cites W2073422902 @default.
• W2970297916 cites W2078256042 @default.
• W2970297916 cites W2090806933 @default.
• W2970297916 cites W2091277567 @default.
• W2970297916 cites W2091916727 @default.
• W2970297916 cites W2114160202 @default.
• W2970297916 cites W2123571878 @default.
• W2970297916 cites W2132652690 @default.
• W2970297916 cites W2146019855 @default.
• W2970297916 cites W2160937389 @default.
• W2970297916 cites W2161793023 @default.
• W2970297916 cites W2216485242 @default.
• W2970297916 cites W2316082584 @default.
• W2970297916 cites W2470457976 @default.
• W2970297916 cites W2480913100 @default.
• W2970297916 cites W2524483710 @default.
• W2970297916 cites W2600016337 @default.
• W2970297916 cites W2604315272 @default.
• W2970297916 cites W2604785767 @default.
• W2970297916 cites W2619767629 @default.
• W2970297916 cites W2640557513 @default.
• W2970297916 cites W2758350461 @default.
• W2970297916 cites W2769668329 @default.
• W2970297916 cites W2776565109 @default.
• W2970297916 cites W2784075164 @default.
• W2970297916 cites W2790798511 @default.
• W2970297916 cites W2791328889 @default.
• W2970297916 cites W2791665776 @default.
• W2970297916 cites W2791905230 @default.
• W2970297916 cites W2792263248 @default.
• W2970297916 cites W2796299618 @default.
• W2970297916 cites W2800522401 @default.
• W2970297916 cites W2809363322 @default.
• W2970297916 cites W2809409513 @default.
• W2970297916 cites W2810912679 @default.
• W2970297916 cites W2830213849 @default.
• W2970297916 cites W2880239935 @default.
• W2970297916 cites W2884613110 @default.
• W2970297916 cites W2887887128 @default.
• W2970297916 cites W2888067248 @default.
• W2970297916 cites W2890029039 @default.
• W2970297916 cites W2890895617 @default.
• W2970297916 cites W2891574421 @default.
• W2970297916 cites W2891625068 @default.
• W2970297916 cites W2892289985 @default.
• W2970297916 cites W2892437484 @default.
• W2970297916 cites W2894082056 @default.
• W2970297916 cites W2896968299 @default.
• W2970297916 cites W2899689042 @default.
• W2970297916 cites W2899803585 @default.
• W2970297916 cites W2900508050 @default.
• W2970297916 cites W2900784756 @default.
• W2970297916 cites W2901225872 @default.
• W2970297916 cites W2901271692 @default.

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