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Fine–Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment pp 151–163Cite as

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

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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 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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Authors and Affiliations

  1. Department of Emergency Aid and Disaster Management, Munzur University, Tunceli, Turkey

    Assoc. Prof. Muhammet Gul

  2. Department of Industrial Engineering, Gaziantep University, Gaziantep, Turkey

    Assoc. Prof. Suleyman Mete

  3. Department of Computer Engineering, Munzur University, Tunceli, Turkey

    Assist. Prof. Faruk Serin

  4. Department of Transportation and Logistics, Istanbul University, Istanbul, Turkey

    Assoc. Prof. Erkan Celik

Authors
  1. Assoc. Prof. Muhammet Gul
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  2. Assoc. Prof. Suleyman Mete
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  3. Assist. Prof. Faruk Serin
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  4. Assoc. Prof. Erkan Celik
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Corresponding author

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 VIKOR. 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_9

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  • DOI: https://doi.org/10.1007/978-3-030-52148-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-52147-9

  • Online ISBN: 978-3-030-52148-6

  • eBook Packages: EngineeringEngineering (R0)

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