Abstract
In view of the problems existing in the prediction methods of coal and gas outburst, a method for prediction of coal and gas outburst based on multi-agent information fusion is proposed. In the method, considering the measured data relevant to many influence factors, a multi-agent information fusion model for rapid, dynamic and accurate prediction of coal and gas outburst is given, Dempster-Shafer (D-S) evidence theory is used to reduce the uncertainty and improve the accuracy in the prediction of coal and gas outburst. The results show that the proposed method has high accuracy, which is a practical method to predict coal and gas outburst.
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