A hybrid risk assessment method for mining sector based on QFD, fuzzy inference system, and AHP

dc.contributor.author	Cinar, Ulas
dc.contributor.author	Cebi, Selcuk
dc.date.accessioned	2021-12-21T08:45:45Z
dc.date.available	2021-12-21T08:45:45Z
dc.date.issued	2020
dc.identifier.issn	1064-1246
dc.identifier.issn	1875-8967
dc.identifier.uri	https://doi.org/10.3233/JIFS-189078
dc.identifier.uri	http://dspace.yeniyuzyil.edu.tr:8080/xmlui/handle/20.500.12629/1750
dc.description.abstract	Conventional risk assessment methods are widely used for industrial safety applications. However, there are serious obstacles to their usage as; (i) all of the potential hazards are considered as an independent event, (ii) various risks are identified bas
dc.language.iso	English
dc.publisher	Ios Press
dc.title	A hybrid risk assessment method for mining sector based on QFD, fuzzy inference system, and AHP
dc.type	Article
dc.relation.journal	Journal Of Intellıgent & Fuzzy Systems
dc.identifier.issue	5
dc.identifier.startpage	6047
dc.identifier.endpage	6058
dc.identifier.volume	39
dc.identifier.doi	10.3233/JIFS-189078
dc.relation.issue	5
dc.relation.volume	39

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