A novel approach for forecasting possible risks of forklift accidents using fuzzy logic and a case study

This paper presents a novel approach to prevent the occurrence of forklift accidents. The approach consists of two stages. In the first stage, the crisp inputs of the approach, which are the maintenance status and operator status, are calculated through the proposed mathematical models. Later, the inputs are converted to fuzzy sets through a fuzzy logic model. The fuzzy logic model will help decision-makers to perceive, forecast, and evaluate possible accident risks of forklifts. The performance of the proposed approach was tested with a case study and a simulation study. The results of the studies showed that the proposed approach can perceive forklift accident risks. Especially for practitioners, it is thought that the approach will be a good tool to predict accident risks before accidents occur.