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dc.contributor.authorCinar, U.
dc.contributor.authorCebi, S.
dc.date.accessioned2021-12-21T08:40:52Z
dc.date.available2021-12-21T08:40:52Z
dc.date.issued2020
dc.identifier.isbn9.78303E+12
dc.identifier.issn21945357
dc.identifier.urihttps://doi.org/10.1007/978-3-030-23756-1_141
dc.identifier.urihttp://dspace.yeniyuzyil.edu.tr:8080/xmlui/handle/20.500.12629/1230
dc.description.abstractProviding a safety working environment that completely eliminates or, where it is not possible, minimizes the risk factors for the occupational health and system safety is possible only with the proper risk management. The current methods, used for risk a
dc.language.isoEnglish
dc.publisherSpringer Verlag
dc.titleA hybrid risk assessment method for mining sector based on QFD, fuzzy logic and AHP
dc.typeConference Paper
dc.relation.journalAdvances in Intelligent Systems and Computing
dc.identifier.startpage1198
dc.identifier.endpage1207
dc.identifier.volume1029
dc.identifier.doi10.1007/978-3-030-23756-1_141
dc.relation.volume1029


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