Hazard assessment based on fuzzy logic

This article presents utilization of fuzzy logic and its inference mechanisms to improve reliability in a decision making process and hazard identification in monitoring a coalmine atmosphere. These proposed new solutions are based on quality analyses of measured data, knowledge of the dispatcher, as well as subjective interpretation of measurements for hazard assessment. This article presents an example of automatic hazard assessment by monitoring fire and ventilation hazards.