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The fatalness of an actual unstable rock mass on high-steep slope is evaluated based on the previously established attribute recognition model.

The identification and classification of risk assessment of the unstable rock mass are assessed using a confidence criterion. The attribute measurement functions are used to compute attribute measurement of a single index and a synthetic attribute measurement.

The weights of assessment indices are determined using a judgment matrix constructed using the analytic hierarchy process. 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. 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.