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Fine–Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment pp 69–89Cite as

Fine–Kinney-Based Occupational Risk Assessment Using Intuitionistic Fuzzy TODIM

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

Abstract

This chapter applies a novel occupational risk assessment approach which merges TODIM with the Fine–Kinney method under the intuitionistic fuzzy set concept. Risk parameters of Fine–Kinney and OHS experts are weighted by an intuitionistic fuzzy weighted averaging (IFWA) aggregation operator. Hence, hazards are quantitatively evaluated and prioritized using the proposed approach. To illustrate the novel risk assessment approach, processes of the gun and rifle assembly line of a factory are handled. A comprehensive risk assessment is carried out to improve operational safety and reliability in the industry. We adapt intuitionistic fuzzy sets in the existing study since they reflect uncertainty with the aid of their membership and nonmembership functions in decision-making better than classical fuzzy extensions. An additional sensitivity analysis by changing the attenuation parameter of TODIM is performed to test the validity of the approach. Finally, the Python codes in the implementation of the proposed approach are given for scholars and practitioners for usage in further studies.

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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 Intuitionistic Fuzzy TODIM. 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_5

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  • DOI: https://doi.org/10.1007/978-3-030-52148-6_5

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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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