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Fine–kinney-based occupational risk assessment using interval type-2 fuzzy qualiflexGul, MuhammetMete, SuleymanSerin, FarukCelik, ErkanIn this chapter, we improved Fine–Kinney occupational risk assessment approach with interval type-2 fuzzy QUALIFLEX (IT2FQUALIFLEX). QUALIFLEX is an outranking multi-attribute decision-making method proposed by an extension of the Paelinck’s (Pap Reg Sci Assoc 36:59–74,[1]), generalized Jacquet-Lagreze’s permutation method. Similar to other outranking solution-based approaches, it considers the solution which is a comparison of hazards. In this chapter, we adapted the interval type-2 fuzzy sets (IT2FSs) into QUALIFLEX as it reflects the uncertainty well in decision-making. IT2FQUALIFLEX 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 the chrome plating unit. A validation is also performed in this study. Finally, the proposed approach is implemented in Python.Springer Science and Business Media Deutschland GmbH2021Book Chapterhttps://rdlopen.rawdatalibrary.net/r/munzur/2381https://doi.org/10.1007/978-3-030-52148-6_81434-9922enStudies in Fuzziness and Soft Computinginfo:eu-repo/semantics/closedAccessinfo:eu-repo/semantics/bookParthttps://munzur-rdlopen.rawdatalibrary.net/tr/items/munzur/2381