To effectively control the collapse risk of unstable rock masses, an attribute recognition model for risk assessment of unstable rock mass on high-steep slopes is established using attribute mathematical theory. The lithology, geologic structural, slope gradient, slope shape, rainfall, slope, vegetation, and human activity are selected as risk assessment indices with grading criteria of each index. The weights of assessment indices are determined using a judgment matrix constructed using the analytic hierarchy process. The attribute measurement functions are used to compute attribute measurement of a single index and a synthetic attribute measurement. The identification and classification of risk assessment of the unstable rock mass are assessed using a confidence criterion. The fatalness of an actual unstable rock mass on high-steep slope is evaluated based on the previously established attribute recognition model. A method for geological disaster monitoring of the unstable rock mass in Yangjiao Town is determined based on the assessment results providing an effective approach to risk assessment of the unstable rock mass.

为有效控制不稳定岩体的坍塌风险，利用属性数学理论建立了高陡边坡不稳定岩体风险评估的属性识别模型。选取岩性、地质构造、坡度、坡形、降雨量、坡度、植被和人类活动作为风险评价指标，并确定各指标的分级标准。评估指标的权重是通过使用层次分析法构建的判断矩阵确定的。属性度量函数用于计算单个指标的属性度量和综合属性度量。不稳定岩体风险评估的识别和分类使用置信度标准进行评估。基于先前建立的属性识别模型对高陡边坡上实际不稳定岩体的致命性进行评估。根据评估结果，确定了杨郊镇不稳定岩体地质灾害监测方法，为不稳定岩体风险评估提供了有效途径。