September 5, 2025Scientific ReportsOpen Access

A fuzzy based hybrid approach for risk assessment of anesthesiologists using OPA and EDAS methods

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The novel hybrid risk assessment model improves evaluations for anesthesiologists exposed to occupational risks.
Using expert judgment, the model incorporates five criteria, identifying needlestick injuries as the most critical risk.
Fuzzy logic is applied to manage uncertainty, enhancing the accuracy of qualitative risk assessments in complex environments.
Sensitivity analysis confirms the model's robustness, supporting preventive strategies in healthcare settings for anesthesiology.

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This model integrates OPA and EDAS methods for effective risk assessment in anesthesiology, highlighting key criteria.

Soltani et al. (2025) studied this question.

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