Fine-Kinney-Based Occupational Risk Assessment using Pythagorean Fuzzy AHP-COPRAS for the Lifting Equipment in the Energy Distribution and Investment Sector

Abstract

The initial risk assessment, especially when using a risk score system, is the main step in a risk assessment process that comes after determining the scope of the risks and assessment. Risk assessment frequently employs the Fine-Kinney method, a comprehensive strategy for quantitative assessments that helps keep risks under check. A risk score (RS) is defined using the standard version of Fine-Kinney by mathematically multiplication of probability (P), exposure (E), and consequence (C) parameters. The Fine-Kinney-based risk evaluation approach has the disadvantage of not accounting for the relationships among the risk parameters' interaction and determining the risk precedence of work-related hazards. Hence, to decrease the negative effects of increasing risks, a new hazard evaluation system for occupational health and safety (OHS) is necessary. In this paper, a novel approach is proposed for integrating Fine–Kinney-based occupational hazard evaluation and AHP-COPRAS for the energy distribution and investment sector under the Pythagorean fuzzy environment. Lifting equipment in energy distribution and investment sector case study is used to demonstrate the practicality and efficacy of the suggested integrated approach. To verify the novel method to risk assessment, a comparative study and sensitivity analysis are also provided. As a result, using the benefit of Pythagorean fuzzy sets, which more effectively express uncertainty, the integrated approach yields more logical conclusions for assessing work-related hazards in the energy distribution and investment sector.

Keywords

• Risk assessment
• Fine-Kinney
• Pythagorean fuzzy COPRAS
• Energy Distribution
• Lifting Equipment

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