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A GIS-BASED APPLICATION OF FUZZY AHP AND CLASSICAL TOPSIS METHODS ON ASSESSING THE SEISMIC VULNERABILITY OF GALA?I CITY, ROMANIA

Andra-Cosmina Albulescu

First published: 2019-06-20https://doi.org/10.5593/sgem2019/2.1/s08.096View metrics

Abstract

Vulnerability may be considered one of the most important components of the seismic risk, as it is the only one that human society may act upon in order to reduce the risk. As seismic vulnerability implies multiple dimensions, from the physical one to the social and economic ones, a multi-criteria decision-making approach proves to be appropriate for its assessment. The uncertainty inherently involved in the assessment process is addressed using fuzzy logic theory. This paper aims to assess the seismic vulnerability of Gala?i City, Romania, by combining two multi-criteria decision-making methods with GIS tools. The physical and economic criteria (factors) are evaluated using Fuzzy Analytical Hierarchy Process (FAHP), which addresses the vagueness of their weights. The alternatives are represented by a number of 91 buildings, which were previously expertized regarding their technical seismic risk. The buildings are ranked according to the considered criteria using the classical Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and then classified into 5 seismic vulnerability classes (very high, high, medium, low, very low). The results are integrated in GIS in order to acquire a better understanding of the seismic vulnerability of Gala?i City. The resulting maps may be used by the authorities in the endeavour to reduce the seismic risk, as they point out the areas that require the most urgent intervention. This study represents a starting point for further research.

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Publication details

Title
A GIS-BASED APPLICATION OF FUZZY AHP AND CLASSICAL TOPSIS METHODS ON ASSESSING THE SEISMIC VULNERABILITY OF GALA?I CITY, ROMANIA
Authors
Andra-Cosmina Albulescu
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th International Multidisciplinary Scientific GeoConference SGEM2019, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2019
Pages
737-744
SWS Citekey
Albulescu20198737744
ISSN
1314-2704
ISBN
978-619-7408-79-9
Language
en
Publication type
Conference Paper
Keywords
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