Fine–kinney-based occupational risk assessment using interval type-2 fuzzy vikor

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In this chapter, we improved Fine–Kinney occupational risk assessment approach with interval type-2 fuzzy VIKOR (IT2FVIKOR). VIKOR is a compromise multi-attribute decision-making method proposed by Opricovic (1998). Similar to other compromised solution-based approaches, it considers the solution which is closest to the ideal. In this chapter, we adapted the interval type-2 fuzzy sets (IT2FSs) into VIKOR as it reflects the uncertainty well in decision-making. IT2FVIKOR algorithm under the Fine–Kinney concept provides a useful and solid approach to the occupational health and safety risk assessment. In addition to proposing this new approach, a case study is performed in a gun and rifle barrel external surface oxidation and coloring unit of a gun factory. A validation and a sensitivity analysis is also attached to this study. Finally, the proposed approach is implemented in Python.

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dc.contributor.authorGul, Muhammet
dc.contributor.authorMete, Suleyman
dc.contributor.authorSerin, Faruk
dc.contributor.authorCelik, Erkan
dc.date.accessioned2026-10-28T14:56:23.091634107Z
dc.date.available2026-10-28T14:56:23.091634107Z
dc.date.issued2021
dc.description.abstractIn this chapter, we improved Fine–Kinney occupational risk assessment approach with interval type-2 fuzzy VIKOR (IT2FVIKOR). VIKOR is a compromise multi-attribute decision-making method proposed by Opricovic (1998). Similar to other compromised solution-based approaches, it considers the solution which is closest to the ideal. In this chapter, we adapted the interval type-2 fuzzy sets (IT2FSs) into VIKOR as it reflects the uncertainty well in decision-making. IT2FVIKOR algorithm under the Fine–Kinney concept provides a useful and solid approach to the occupational health and safety risk assessment. In addition to proposing this new approach, a case study is performed in a gun and rifle barrel external surface oxidation and coloring unit of a gun factory. A validation and a sensitivity analysis is also attached to this study. Finally, the proposed approach is implemented in Python.
dc.identifier.doi10.1007/978-3-030-52148-6_9
dc.identifier.endpage163
dc.identifier.issn1434-9922
dc.identifier.scopus2-s2.0-85091936546
dc.identifier.startpage151
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/munzur/3246
dc.identifier.volume398
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofStudies in Fuzziness and Soft Computing
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.titleFine–kinney-based occupational risk assessment using interval type-2 fuzzy vikor
dc.typeBook Chapter
rdl.citation.openalex5
rdl.citation.scopus4
rdl.oa.statusclosed
rdl.source.indexSCOPUS