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Fine–Kinney-Based Occupational Risk Assessment Using Hexagonal Fuzzy MULTIMOORA

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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))

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Abstract

Hexagonal fuzzy numbers (HFNs) can be used as a proficient logic to simplify understanding of ambiguity information. HFNs present the usual information in a comprehensive way and also the ambiguity section can be exemplified in a reasonable way. In this chapter, we proposed an improved Fine–Kinney occupational risk assessment approach using a well-known MCDM method Multi-Objective Optimization by Ratio Analysis (MULTIMOORA) using hexagonal fuzzy numbers. Since the mere MULTIMOORA has failed to handle uncertainty and vague information which usually exist in real world problems, we follow integration of HFNs and MULTIMOORA (HFMULTIMOORA). To show the applicability of the novel approach, a case study of risk assessment of a raw mill in cement plant was provided. Comparative analysis with using two aggregation tools as reciprocal rank method and dominance theory are carried out. Finally, the Python implementation of the proposed approach is implemented to be effective for those concerned in the future.

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Notes

  1. 1.

    Reprinted from Ref. [25], Copyright 2005, with permission from Çimento Endüstrisi İşverenleri Sendikası (ÇEİS)

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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 Hexagonal Fuzzy MULTIMOORA. 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_6

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  • DOI: https://doi.org/10.1007/978-3-030-52148-6_6

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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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