dc.contributor.author | Cinar, U. | |
dc.contributor.author | Cebi, S. | |
dc.date.accessioned | 2021-12-21T08:40:52Z | |
dc.date.available | 2021-12-21T08:40:52Z | |
dc.date.issued | 2020 | |
dc.identifier.isbn | 9.78303E+12 | |
dc.identifier.issn | 21945357 | |
dc.identifier.uri | https://doi.org/10.1007/978-3-030-23756-1_141 | |
dc.identifier.uri | http://dspace.yeniyuzyil.edu.tr:8080/xmlui/handle/20.500.12629/1230 | |
dc.description.abstract | Providing 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.iso | English | |
dc.publisher | Springer Verlag | |
dc.title | A hybrid risk assessment method for mining sector based on QFD, fuzzy logic and AHP | |
dc.type | Conference Paper | |
dc.relation.journal | Advances in Intelligent Systems and Computing | |
dc.identifier.startpage | 1198 | |
dc.identifier.endpage | 1207 | |
dc.identifier.volume | 1029 | |
dc.identifier.doi | 10.1007/978-3-030-23756-1_141 | |
dc.relation.volume | 1029 | |