Adaptive Neuro Fuzzy-Based Prediction of Safety Participation from the Personal Factors of the Workers

Safety participation is a significant factor in occupational accidents. Enhanced safety participation of the workforce is crucial for ensuring safety at the worksite. Personal factors of the workers are influencing the level of safety participation. This research paper attempts to predict the level of safety participation based on three major personal factors-job stress, social support, and self-esteem. Safety research survey conducted in an government electrical organisation used for this study. The relevant statistical analysis including validity, reliability, and factor analysis was performed before attempting the development of the prediction model using adaptive neuro-fuzzy system (ANFIS). Training, checking, and testing of the data was performed using ANFIS were conducted and the estimated RSME values were found to be within the threshold. An app for predicting safety participation from the personal factor was also developed. Future researchers can use this research study to predict other safety factors from the individual factors.