Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/67833
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dc.contributor.authorAkkachai Ketsapen_US
dc.contributor.authorChayanon Hansapinyoen_US
dc.contributor.authorNopadon Kronpraserten_US
dc.contributor.authorSuchart Limkatanyuen_US
dc.date.accessioned2020-04-02T15:06:23Z-
dc.date.available2020-04-02T15:06:23Z-
dc.date.issued2019-01-01en_US
dc.identifier.issn01258281en_US
dc.identifier.other2-s2.0-85073536093en_US
dc.identifier.other10.4186/ej.2019.23.5.89en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85073536093&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/67833-
dc.description.abstract© 2019, Chulalongkorn University, Faculty of Fine and Applied Arts. All rights reserved. The Northern region of Thailand has been considered as one of the seismic risk zones. However, most existing buildings in the area had been designed and constructed based on old building design codes without seismic consideration. Therefore, those buildings are required to upgrade based on earthquake building damage risk evaluation. With resource limitations, it is not feasible to retrofit all buildings in a short period. In addition, the results of the risk evaluation contain uncertain inputs and outputs. The objective of this study is to prioritize building retrofit based on fuzzy earthquake risk assessment. The risk assessment of a building was made considering the risk factors including (1) building vulnerability, (2) seismic intensity and (3) building values. Then, the total risk was calculated by integrating all the risk factors with their uncertainties using a fuzzy rule based model. An example of the retrofit prioritization is shown here considering the three fuzzy factors. The ranking is hospital, temple, school, government building, factory and house, respectively. The result helps decision makers to screen and prioritize the building retrofitting in the seismically prone area.en_US
dc.subjectEngineeringen_US
dc.titleUncertainty and fuzzy decisions in earthquake risk evaluation of buildingsen_US
dc.typeJournalen_US
article.title.sourcetitleEngineering Journalen_US
article.volume23en_US
article.stream.affiliationsPrince of Songkla Universityen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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