摘要
A new method based on rough set theory and genetic algorithm was proposedto predict the rock burst proneness. Nine influencing factors were first selected, and then,the decision table was set up. Attributes were reduced by genetic algorithm. Rough setwas used to extract the simplified decision rules of rock burst proneness. Taking the practical engineering for example, the rock burst proneness was evaluated and predicted bydecision rules. Comparing the prediction results with the actual results, it shows that theproposed method is feasible and effective.
A new method based on rough set theory and genetic algorithm was proposed to predict the rock burst proneness. Nine influencing factors were first selected, and then, the decision table was set up. Attributes were reduced by genetic algorithm. Rough set was used to extract the simplified decision rules of rock burst proneness. Taking the practical engineering for example, the rock burst proneness was evaluated and predicted by decision rules. Comparing the prediction results with the actual results, it shows that the proposed method is feasible and effective.
基金
Supported by the Youth Science Foundation of North China University of Water Conservancy and Electric Power(HSQJ2009016)
