探讨了基于变精度粗糙集模型的地下硐室稳定性的分类方法,该方法应用粗糙集原理把影响地下硐室数据信息转换为决策表,通过定义近似分类质量度量,改进传统ID3算法,利用变精度粗糙集方法处理带噪声的决策表,从而对地下硐室的稳定性进行合理的判别、分类。此方法增强了数据分析和处理的鲁棒性,为进行决策提供了依据。 This paper discusses the classification method of underground chamber stability based on variable precision rough set model. The method applies the principle of rough set theory to convert the information of underground chamber into decision table, and improves the traditional ID3 algorithm through the definition of approximate classification quality measure. The precision rough set method is used to deal with the decision table with noises, so that the stability of the underground chamber can be reasonably distinguished and classified. This method enhances the robustness of data analysis and processing and provides a basis for decision-making.