Abstract
This chapter aims at the adaptation of the Fine–Kinney occupational risk assessment concept into the VIKOR multi-attribute decision-making method with an interval-valued Pythagorean fuzzy set. The classical fuzzy set theory has been improved by proposing a number of extended versions. One of them is the Pythagorean fuzzy set. It has been firstly developed by Yager (IEEE Transactions on Fuzzy Systems 22:958–965, [1]). In this chapter, we use this type of fuzzy set with VIKOR since it reflects uncertainty in occupational risk assessment and decision-making better than other fuzzy extensions. To demonstrate the proposed approach applicability, a case study regarding the activities of the surface treatment area in a chrome plating unit of a gun factory is performed. Some additional analysis to test the solidity and validity of the approach is executed. 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
Yager, R. R. (2014). Pythagorean membership grades in multicriteria decision making. IEEE Transactions on Fuzzy Systems, 22(4), 958–965.
Gul, M. (2018). Application of Pythagorean fuzzy AHP and VIKOR methods in occupational health and safety risk assessment: The case of a gun and rifle barrel external surface oxidation and colouring unit. International journal of occupational safety and ergonomics. https://doi.org/10.1080/10803548.2018.1492251.
Gul, M., & Ak, M. F. (2018). A comparative outline for quantifying risk ratings in occupational health and safety risk assessment. Journal of Cleaner Production, 196, 653–664.
Gul, M., Guneri, A. F., & Nasirli, S. M. (2018). A fuzzy-based model for risk assessment of routes in oil transportation. International Journal of Environmental Science and Technology, 1–16.
Ilbahar, E., Karasan, A., Cebi, S., & Kahraman, C. (2018). A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP & fuzzy inference system. Safety Science, 103, 124–136.
Karasan, A., Ilbahar, E., Cebi, S., & Kahraman, C. (2018). A new risk assessment approach: Safety and Critical Effect Analysis (SCEA) and its extension with Pythagorean fuzzy sets. Safety Science, 108, 173–187.
Mete, S., Serin, F., Oz, N. E., & Gul, M. (2019). A decision-support system based on Pythagorean fuzzy VIKOR for occupational risk assessment of a natural gas pipeline construction. Journal of Natural Gas Science and Engineering, 71, 102979.
Oz, N. E., Mete, S., Serin, F., & Gul, M. (2019). Risk assessment for clearing and grading process of a natural gas pipeline project: An extended TOPSIS model with Pythagorean fuzzy sets for prioritizing hazards. Human and Ecological Risk Assessment: An International Journal, 25(6), 1615–1632.
Ak, M. F., & Gul, M. (2019). AHP–TOPSIS integration extended with Pythagorean fuzzy sets for information security risk analysis. Complex & Intelligent Systems, 5(2), 113–126.
Gul, M., Ak, M. F., & Guneri, A. F. (2019). Pythagorean fuzzy VIKOR-based approach for safety risk assessment in mine industry. Journal of Safety Research, 69, 135–153.
Yucesan, M., & Gul, M. (2019). Hospital service quality evaluation: an integrated model based on Pythagorean fuzzy AHP and fuzzy TOPSIS. Soft Computing, 1–19.
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.
Mete, S. (2019). Assessing occupational risks in pipeline construction using FMEA-based AHP-MOORA integrated approach under Pythagorean fuzzy environment. Human and Ecological Risk Assessment: An International Journal, 25(7), 1645–1660.
Yucesan, M., & Kahraman, G. (2019). Risk evaluation and prevention in hydropower plant operations: A model based on Pythagorean fuzzy AHP. Energy policy, 126, 343–351.
Zeng, S., Chen, J., & Li, X. (2016). A hybrid method for pythagorean fuzzy multiple-criteria decision making. International Journal of Information Technology & Decision Making, 15(02), 403–422.
Zhang, X., & Xu, Z. (2014). Extension of TOPSIS to multiple criteria decision making with Pythagorean fuzzy sets. International Journal of Intelligent Systems, 29(12), 1061–1078.
Opricovic, S. (1998). Multicriteria optimization of civil engineering systems. Belgrade: Faculty of Civil Engineering.
Gul, M., Celik, E., Aydin, N., Gumus, A. T., & Guneri, A. F. (2016). A state of the art literature review of VIKOR and its fuzzy extensions on applications. Applied Soft Computing, 46, 60–89.
Peng, X., & Selvachandran, G. (2019). Pythagorean fuzzy set: state of the art and future directions. Artificial Intelligence Review, 52(3), 1873–1927.
Yu, C., Shao, Y., Wang, K., & Zhang, L. (2019). A group decision making sustainable supplier selection approach using extended TOPSIS under interval-valued Pythagorean fuzzy environment. Expert Systems with Applications, 121, 1–17.
Garg, H. (2016). A novel accuracy function under interval-valued Pythagorean fuzzy environment for solving multicriteria decision making problem. Journal of Intelligent & Fuzzy Systems, 31(1), 529–540.
Cui, F. B., You, X. Y., Shi, H., & Liu, H. C. (2018). Optimal siting of electric vehicle charging stations using Pythagorean fuzzy VIKOR approach. Mathematical Problems in Engineering.
Yazdi, M. (2018). Footprint of knowledge acquisition improvement in failure diagnosis analysis. Quality and Reliability Engineering International. https://doi.org/10.1002/qre.2408.
Kabir, S., Yazdi, M., Aizpurua, J. I., & Papadopoulos, Y. (2018). Uncertainty-aware dynamic reliability analysis framework for complex systems. IEEE Access. https://doi.org/10.1109/ACCESS.2018.2843166.
Gul, M., Guven, B., & Guneri, A. F. (2018). A new Fine-Kinney-based risk assessment framework using FAHP-FVIKOR incorporation. Journal of Loss Prevention in the Process Industries, 53, 3–16.
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 Interval-Valued Pythagorean 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_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-52148-6_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-52147-9
Online ISBN: 978-3-030-52148-6
eBook Packages: EngineeringEngineering (R0)