A Novel Risk Assessment Approach: Decomposed Fuzzy Set-Based Fine-Kinney Method


ÇEBİ S., Kaliyaperuma P.

Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference, İstanbul, Turkey, 22 - 24 August 2023, vol.758 LNNS, pp.787-797 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 758 LNNS
  • Doi Number: 10.1007/978-3-031-39774-5_86
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.787-797
  • Keywords: Decomposed fuzzy sets, Fine-Kinney, Fuzzy sets and extensions
  • Yıldız Technical University Affiliated: Yes

Abstract

The Fine-Kinney approach is used to assess the risk level and determine appropriate steps to mitigate risk magnitude. The method uses the probability, severity, and frequency parameters while assessing the risk magnitude in the work environment. However, it is not easy to evaluate these parameters precisely. When an accident occurs, it is possible to result in death as well as minor abrasions. This makes it difficult to predict the outcome of the situation and creates uncertainty in the evaluation. In order to address the uncertainty illustrated here, the newly proposed decomposed fuzzy sets will be used. The decomposed fuzzy set is one of the fuzzy set extensions that take into account the evaluations made from a pessimistic and optimistic point of view. Therefore, in the scope of this study, the Fine&Kinney method is firstly extended to decomposed fuzzy sets. The proposed approach is applied to the electric arc welding process to illustrate the applicability of the method. According to the findings, harmful radiation and gas exposure present a greater risk compared to electric shock, fire and explosion, and musculoskeletal disorders.