Application of GA based Rough Set Theory in Forecast of Gas Outbursts

Prediction of gas outbursts is an intricate task affected by many factors. A kind of non-parametric method-GA based rough set theory (GARS) is presented for gas outbursts forecast in coal mines. The rough set theory allows researchers to analyze gas outbursts accidents in multiple dimensions and to model gas outbursts. A real-world gas outbursts data set collected from Luling coal mine is used as a test data set to demonstrate the validity of the proposed approach. In the experiment, the model for gas outbursts forecast is built and experimental results show that the GARS is effective. GARS gives us a promising alternative for gas outbursts prediction.