Fuzzy Fine-Kinney Occupational Health and Safety Risk Analysis in Offices: An Application in a Public Institution in Istanbul

In offices, there are numerous risks concerning the health and safety of employees, making it challenging to eliminate all risk factors at once. Risk analyses are conducted to prioritize risks based on urgency and to mitigate their danger levels. An occupational health and safety risk analysis was performed using the Fine-Kinney method for 330 hazard sources in a public institution conducting office activities in Istanbul. The uncertainty of parameters in the Fine-Kinney method complicates obtaining objective results; therefore, in the second phase, the parameters of probability, frequency, severity, and risk magnitude were processed according to the principles of fuzzy logic to achieve more objective and realistic outcomes. For the fuzzy analysis, two separate fuzzy models were developed using the same rule base. The difference between the models lies in the selection of membership functions; thus, the impact of membership function choice on the risk score has been explored. Lastly, by comparing Fine-Kinney and fuzzy model analyses, it was concluded that fuzzy models are more successful than the method, and the second fuzzy model, which uses triangular membership functions, was found to be more successful than the first fuzzy model which uses pi membership functions.