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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Atanassov, K. T. (1999). Intuitionistic fuzzy sets. In Intuitionistic fuzzy sets (pp. 1–137). Heidelberg: Physica.
Xu, Z., & Liao, H. (2013). Intuitionistic fuzzy analytic hierarchy process. IEEE Transactions on Fuzzy Systems, 22(4), 749–761.
Abdullah, L., & Najib, L. (2014). A new preference scale of intuitionistic fuzzy analytic hierarchy process in multi-criteria decision making problems. Journal of Intelligent & Fuzzy Systems, 26(2), 1039–1049.
Liao, H., Mi, X., Xu, Z., Xu, J., & Herrera, F. (2018). Intuitionistic fuzzy analytic network process. IEEE Transactions on Fuzzy Systems, 26(5), 2578–2590.
Boran, F. E., Genç, S., Kurt, M., & Akay, D. (2009). A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Systems with Applications, 36(8), 11363–11368.
Devi, K. (2011). Extension of VIKOR method in intuitionistic fuzzy environment for robot selection. Expert Systems with Applications, 38(11), 14163–14168.
Liao, H., & Xu, Z. (2014). Multi-criteria decision making with intuitionistic fuzzy PROMETHEE. Journal of Intelligent & Fuzzy Systems, 27(4), 1703–1717.
Wu, M. C., & Chen, T. Y. (2011). The ELECTRE multicriteria analysis approach based on Atanassov’s intuitionistic fuzzy sets. Expert Systems with Applications, 38(10), 12318–12327.
Govindan, K., Khodaverdi, R., & Vafadarnikjoo, A. (2015). Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain. Expert Systems with Applications, 42(20), 7207–7220.
Göçer, F., & Büyüközkan, G. (2019, July). Assessment of big data vendors by intuitionistic fuzzy TODIM. In International Conference on Intelligent and Fuzzy Systems (pp. 574–582). Cham: Springer.
Qin, Q., Liang, F., Li, L., Chen, Y. W., & Yu, G. F. (2017). A TODIM-based multi-criteria group decision making with triangular intuitionistic fuzzy numbers. Applied Soft Computing, 55, 93–107.
Krohling, R. A., Pacheco, A. G., & Siviero, A. L. (2013). IF-TODIM: An intuitionistic fuzzy TODIM to multi-criteria decision making. Knowledge-Based Systems, 53, 142–146.
Gomes, L. F. A. M., & Lima, M. M. P. P. (1992). TODIM: Basics and application to multicriteria ranking of projects with environmental impacts. Foundations of Computing and Decision Sciences, 16(4), 113–127.
Huang, J., Li, Z. S., & Liu, H. C. (2017). New approach for failure mode and effect analysis using linguistic distribution assessments and TODIM method. Reliability Engineering & System Safety, 167, 302–309.
Soni, N., Christian, R. A., & Jariwala, N. (2016). Pollution potential ranking of industries using classical TODIM method. Journal of Environmental Protection, 7(11), 1645.
Ozdemir, Y., & Gul, M. (2019). Measuring development levels of NUTS-2 regions in Turkey based on capabilities approach and multi-criteria decision-making. Computers & Industrial Engineering, 128, 150–169.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-52148-6_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-52147-9
Online ISBN: 978-3-030-52148-6
eBook Packages: EngineeringEngineering (R0)