Method Study of Forecasting Gas Outburst Based on Rough Set

The gas outburst forecasts model is brought forward in this paper. Firstly, rough set requires discrimination data, considering distributed information of class, and continual condition attributes are discredited adopting information entropy theory. On the basis of that, redundancy attributes are eliminated using rough set reduction algorithm. Reduction attributes and rules are gained. Finally, through instances test the result indicates that forecasts model has higher exact ratio.