Recent accidents in mines highlight the need for further research and output in this sector. Mine air quality is one of the most important research topics in the mining industry in terms of worker health and safety. Various factors such as gases, required air quantity, and ventilation principles need to be considered together. The amount of gas in mines, the humidity in the air, and the amount of dust inside are among the factors that determine indoor air quality. The aim of the research is to practically evaluate indoor air quality in mines with a fuzzy logic approach, including various parameters with limit values ​​in accordance with international standards. There are three sub- and one main fuzzy inference systems in this study. 9 different parameters affecting the problem were used in the subsystems. Three main parameters are used in the main inference system, which are air quality containing gases, climate conditions, and air criteria measuring dust amount and air velocity.