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

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