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Fine–Kinney-Based Occupational Risk Assessment Using Interval Type-2 Fuzzy QUALIFLEX

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Fine–Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 398))

Abstract

In 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.

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Correspondence to Muhammet Gul .

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Gul, M., Mete, S., Serin, F., Celik, E. (2021). Fine–Kinney-Based Occupational Risk Assessment Using Interval Type-2 Fuzzy QUALIFLEX. In: Fine–Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment. Studies in Fuzziness and Soft Computing, vol 398. Springer, Cham. https://doi.org/10.1007/978-3-030-52148-6_8

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  • DOI: https://doi.org/10.1007/978-3-030-52148-6_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-52147-9

  • Online ISBN: 978-3-030-52148-6

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