Application of Pythagorean fuzzy AHP and VIKOR methods in occupational health and safety risk assessment: the case of a gun and rifle barrel external surface oxidation and colouring unit

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Özet

The field of occupational health and safety (OHS) focuses on reducing occupational accidents to an acceptable level. OHS covers systematic efforts aimed at providing employee health, safety and welfare in the workplace. This study proposes a new approach for risk assessment in the field of OHS. It integrates the Pythagorean fuzzy analytic hierarchy process (PFAHP) and fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (FVIKOR) into a risk assessment process. The PFAHP is used in weighting the risk parameters. FVIKOR is then applied to prioritize the hazards. To demonstrate the applicability and validity of the proposed approach, a case study of a barrel external surface oxidation and colouring unit of a gun and rifle production facility is performed. A comparison is also provided between the proposed approach and an intuitionistic fuzzy sets-based approach. The proposed approach is found to produce reliable outcomes that better represent the vagueness of the decision-making process.

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dc.contributor.authorGul, Muhammet
dc.date.accessioned2026-10-28T14:56:57.675501678Z
dc.date.available2026-10-28T14:56:57.675501678Z
dc.date.issued2020
dc.description.abstractThe field of occupational health and safety (OHS) focuses on reducing occupational accidents to an acceptable level. OHS covers systematic efforts aimed at providing employee health, safety and welfare in the workplace. This study proposes a new approach for risk assessment in the field of OHS. It integrates the Pythagorean fuzzy analytic hierarchy process (PFAHP) and fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (FVIKOR) into a risk assessment process. The PFAHP is used in weighting the risk parameters. FVIKOR is then applied to prioritize the hazards. To demonstrate the applicability and validity of the proposed approach, a case study of a barrel external surface oxidation and colouring unit of a gun and rifle production facility is performed. A comparison is also provided between the proposed approach and an intuitionistic fuzzy sets-based approach. The proposed approach is found to produce reliable outcomes that better represent the vagueness of the decision-making process.
dc.identifier.doi10.1080/10803548.2018.1492251
dc.identifier.eissn2376-9130
dc.identifier.endpage718
dc.identifier.issn1080-3548
dc.identifier.issue4
dc.identifier.pmid29927709
dc.identifier.scopus2-s2.0-85050518656
dc.identifier.startpage705
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/munzur/3684
dc.identifier.volume26
dc.identifier.wosWOS:000592012300007
dc.language.isoen
dc.publisherTaylor and Francis Ltd.
dc.relation.ispartofInternational Journal of Occupational Safety and Ergonomics
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectanalytic hierarchy process
dc.subjectfuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje
dc.subjectgun and rifle production
dc.subjectOccupational health and safety
dc.subjectPythagorean fuzzy sets
dc.subjectrisk assessment
dc.subject.classificationErgonomics
dc.subject.classificationPublic, Environmental & Occupational Health
dc.subject.classificationEngineering
dc.subject.otherAccidents, Occupational
dc.subject.otherFuzzy Logic
dc.subject.otherHumans
dc.subject.otherMetallurgy
dc.subject.otherOccupational Health
dc.subject.otherRisk Assessment
dc.subject.otherWeapons
dc.subject.otherhuman
dc.subject.otheroccupational accident
dc.subject.otherweapon
dc.titleApplication of Pythagorean fuzzy AHP and VIKOR methods in occupational health and safety risk assessment: the case of a gun and rifle barrel external surface oxidation and colouring unit
dc.typeArticle
rdl.citation.openalex133
rdl.citation.scopus99
rdl.citation.wos100
rdl.departmentDepartment of Industrial Engineering, Munzur University, Turkey
rdl.oa.statusclosed
rdl.scopus.quartileQ2
rdl.sdgSDG03
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.source.indexPUBMED
rdl.wos.indexSocial Science Citation Index (SSCI)