工程地质学报2016，Vol.24Issue(2)：204-210,7.DOI:10.13544/j.cnki.jeg.2016.02.005
边坡稳定性预测的粗糙集－距离判别模型及其应用
ROUGH SET-DISTANCE DISCRIMINANT ANALYSIS MODEL OF SLOPE STABILITY PREDICTION AND ITS APPLICATION
摘要
Abstract
The Mahalanobis distance discriminant method has a shortage that the weight factors can't be considered. To overcome this shortage,the rough sets theory is used to analyze and obtain weight factors.The weight coefficients are computed by analyzing the support and significance of forecasting method for the predicted object.The weighted distance discriminant models of slope stability evaluation and prediction are established by introducing weight coefficients.According to the characters of slope instability and failure,the rough set and distance discriminant models of slope stability evaluation and prediction are founded,where reasonable indexes are considered and a large set of case engineering samples are taken as raw data and training samples.The validity of rough set and distance discriminant models of slope stability evaluation and prediction have been verified through contrasting with Mahalanobis distance discriminant method,support vector machine and Bayes discriminant analysis.The rough set and distance discriminant models are applied to the slope engineering at some large water control project reservoir area in the middle reaches of Yellow River.The predicting results are according with real situation.The research results show that the rough set and distance discriminant models are reasonable for weight analysis with high prediction accuracy,which is a new and effective method for slope stability analysis and prediction.关键词
边坡稳定性/粗糙集理论/权重系数/距离判别法/评价预测Key words
Slope stability/Rough set theory/Weight coefficients/Distance discriminant method/Evaluation and prediction分类
建筑与水利引用本文复制引用
闫长斌..边坡稳定性预测的粗糙集－距离判别模型及其应用[J].工程地质学报,2016,24(2):204-210,7.基金项目
国家自然科学基金项目（U1504523），国家级大学生创新创业训练计划项目（201510459007），河南省高等学校重点科研项目（15A410001）资助． （）
