Abstract
Occupational Health and Safety (OHS) is the definition given to the works aimed at eliminating any long- and short-term health problems that may occur due to the work is done. The risk assessment in OHS is defined as work carried out with the aim of determining the hazards that may exist in the workplace and the measures to be taken. Several quantitative and qualitative risk assessment tools exist in the literature to analyze the characteristics of different sectors’ causes of accidents and workplace conditions. The fuzzy sets have been used for more effective rating in risk assessment. In this paper, Interval Valued Pythagorean Fuzzy Analytical Hierarchy Process (IV-PFAHP) method and Interval Valued Pythagorean Fuzzy TOPSIS (IV-PFTOPSIS) method have been suggested to deal with the risk assessment process with a real case study. The paper focuses on IV-PFAHP and IV-PFTOPSIS methods to handle uncertainty in the risk assessment process for health sector. The results revealed that the proposed approach produces reliable outcomes representing the vagueness of the decision-making process.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Gul, G., Bol, P., Erbaycu, A.E.: Hasta ve çalışan güvenliğinde risk yönetimi: Bir eğitim araştırma hastanesi’nde yapılan risk analizi ve iyileştirmeler. Sağlıkta Performans Ve Kalite Derg. 5(1), 1–16 (2013)
Liang, D., Xu, Z.: The new extension of TOPSIS method for MCDM with hesitant Pythagorean fuzzy sets. Appl. Soft Comput. 60, 167–179 (2017)
HSENI. https://www.hseni.gov.uk/articles/risk-assessment. Accessed 7 Feb 2019
INITIAFY. https://www.initiafy.com/blog/safety-risk-management-qual-vs-qty/. Accessed 7 Feb 2019
Ak, M.F., Gül, M.: AHP–TOPSIS integration extended with Pythagorean fuzzy sets for information security risk analysis. Complex Intell. Syst., 113–126 (2018). https://doi.org/10.1007/s40747-018-0087-7
Yu, C., Shao, Y., Wang, K., Zhang, L.: A group decision making sustainable supplier selection approach using extended TOPSIS under IVPF environment. Expert Syst. Appl. 121, 1–17 (2019)
Onkoyun, S.: Marine search and rescue station location selection using interval-valued Pythagorean fuzzy AHP. Istanbul Technical University, Istanbul (2018)
Garg, H.: A new improved score function of an IVPF set based TOPSIS method. Int. J. Uncertain. Quantif. 7(5), 463–474 (2017)
Zhang, X., Xu, Z.: Extension of TOPSIS to MCDM with Pythagorean fuzzy sets. Int. J. Intell. Syst. 29(12), 1061–1078 (2014)
Dung, V., Thuy, L.T., Mai, P.Q., Dan, N.V., Lan, M.: TOPSIS approach using interval neutrosophic sets for personnel selection. Asian J. Sci. Res. 11, 434–440 (2018)
Karasan, A., Ilbahar, E., Cebi, S., Kahraman, C.: A new risk assessment approach: SCEA and its extension with PFS. Saf. Sci. 108, 173–187 (2018)
Ilbahar, E., Karasan, A., Cebi, S., Kahraman, C.: A novel approach to risk assessment for OHS using PFAHP & fuzzy inference system. Saf. Sci. 103, 124–136 (2018)
Rahman, K., Abdullah, S., Shakeel, M., Khan, M.S.A., Ullah, M.: IVPF geometric aggregation operators and their application to group decision making problem. Cogent Math. 4, 1–20 (2017)
Peng, X., Yang, Y.: Fundamental properties of IVPF aggregation operators. Int. J. Intell. Syst. 31(5), 444–487 (2015)
Onar, S.C., Oztaysi, B., Otay, I., Kahraman, C.: Multi-expert wind energy technology selection using interval-valued intuitionistic fuzzy sets. Energy 90, 274–285 (2015)
Coskun, R., Kiriş, Z.N., Tepe, S.: A new fuzzy based marketing performance measurement model with a real case study. In: 13th International Conference on Challenges in Industrial Engineering and Operations Management, Dubai (2019)
Tepe, S.: Risk assessment using a fuzzy logic approach and neutrosophic set approaches: an application on the asphalt production process. Yıldız Technical University, Istanbul (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Aslantaş, S., Tepe, S., Mertoğlu, B. (2020). A Fuzzy Based Risk Assessment Model with a Real Case Study. In: Kahraman, C., Cebi, S., Cevik Onar, S., Oztaysi, B., Tolga, A., Sari, I. (eds) Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making. INFUS 2019. Advances in Intelligent Systems and Computing, vol 1029. Springer, Cham. https://doi.org/10.1007/978-3-030-23756-1_109
Download citation
DOI: https://doi.org/10.1007/978-3-030-23756-1_109
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-23755-4
Online ISBN: 978-3-030-23756-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)