摘要
基于粗糙集理论和模糊集理论相结合的方法,利用粗糙集中的知识约简方法挖掘评价指标,把权系数问题转化为粗糙集中属性重要性评价问题,建立了关于岩爆发生和烈度分级评价的关系数据模型。利用国内外一些重大深部岩石工程实例作为学习的样本进行训练,经过训练后的模型判别估计误判率为0。利用该模型对实际工程项目贵州开磷集团马路坪深埋硬岩矿山岩爆情况进行预测,预测等级与实际结果吻合,说明该模型在研究岩爆预测中具有良好的实用性和有效性。该方法可为深部地下工程岩爆发生可能性及其烈度分级预测提供一种新思路。
Based on the combination of rough set and fuzzy set theory,a knowledge reduction method of rough set is adopted to obtain the evaluated indexes.The problem of weighting coefficient is converted into that of significance estimating on the attribution of rough set.And a model of predicting the possibility and classification of rock burst was established.A series of underground rock projects in domestic and abroad are taken as the training and testing samples,and the ratio of mistake-distinguish is considerably low zero after the model is trained.Ma Luping deep-buried hard rock mine are used to verify this model.The results show that the predicted classification is consistent with the actually measured ones.Therefore,the classification model,reflecting the complexity situation of rock-burst objectively,is effective and available to the classification of the grade of rock burst.The results show that the model can be used to predict the possibility and classification of rock-burst in deep underground engineering.
出处
《金属矿山》
CAS
北大核心
2010年第6期26-29,共4页
Metal Mine
基金
国家自然科学基金项目(编号:50934006)
关键词
粗糙集理论
岩爆预测
分级
知识约简
Rough sets
Rock-burst prediction
Classification
Knowledge reduction
