基于CBR的边坡滑坡防治措施辅助决策模型研究

为将历史工程案例用于拟建川藏铁路边坡滑坡防治措施的决策中，建立了基于案例推理的边坡滑坡防治措施辅助决策模型。首先用数个特征属性对边坡工程案例进行定量表示，并通过特征向量分析法确定各特征属性的权重；在此基础之上，利用灰色关联分析法完成相似案例的检索，相似案例的滑坡防治措施经适当修正后用来指导目标案例。最后，通过川藏铁路德沙滑坡实例分析，验证该模型的有效性。

Study on the Auxiliary Decision-making Model for Slope Landslide Prevention and Control Measures Based on CBR

In order to apply historical project cases to the decision of slope landslide prevention and control measures for the proposed Sichuan-Tibet Railway, an auxiliary decision-making model for slope landslide prevention and control measures is established based on case-based reasoning. First of all, several characteristic attributes are used to quantitatively express the slope engineering cases and the eigenvector analysis method is used to determine the weight of each characteristic attribute. On this basis, the gray relational analysis is used to complete the retrieval of similar cases. Landslide prevention and control measures in similar cases are properly revised to guide the target case. Finally, the validity of the model is verified by an example analysis of the Desha landslide in Sichuan-Tibet Railway.