灰色粗糙集理论在边坡稳定性评价中的应用  

Application of grey-rough set in slope stability evaluation

作　　者：郑丽婷 刘军 王乾 ZHENG Liting;LIU Jun;WANG Qian(Guangdong Business and Technology University,Zhaoqing 526000,China)

机构地区：[1]广东工商职业技术大学,肇庆526000

出　　处：《高科技与产业化》2025年第2期44-46,共3页High-Technology & Commercialization

基　　金：2023年广东省普通高校青年创新人才类项目“基于灰色模糊理论、灰色粗糙理论和模糊粗糙理论的工程决策分析”(2023KQNCX146)。

摘　　要：结合灰色关联分析和粗糙集理论,建立了基于灰色粗糙集理论的边坡稳定性评价模型。首先通过对有限的边坡经验数据进行灰色关联分析,找出影响边坡稳定性的关键因素;然后根据找出的关键因素建立属性决策表,以粗糙集为理论基础,结合随机森林算法,用扩大的边坡数据集训练模型。所建立的模型综合运用了粗糙集理论在知识挖掘方面的能力和随机森林算法对高维数据的处理能力和分类能力。结果表明,该模型具有较强的泛化能力,能准确预测边坡的稳定性,有利于边坡工程的设计和决策。Combined with grey correlation analysis and rough set theory,a stability evaluation model of slope based on grey-rough theory is established.Firstly,the grey correlation analysis is applied to identify the key factors influencing slope stability.Subsequently,an attribute decision table is constructed based on these factors,and a model is developed accordingly.This model is trained on an expanded slope data set based on rough set theory and the random forest algorithm,effectively integrating the knowledge discovery capabilities of rough set theory with the data classification strengths of the random forest algorithm for high-dimensional data.The result shows that the model has strong generalisation ability and can accurately predict slope stability,which is conducive to decision-making of slope engineering.

关 键 词：边坡工程 稳定性评价 

分 类 号：TP1[自动化与计算机技术—控制理论与控制工程]