基于组合赋权模糊云理论的高边坡稳定性评价

针对高边坡稳定性评价中指标赋权及其模糊隶属度等不确定问题，提出了一种基于组合赋权模糊云理论的高边坡稳定性评价方法。通过构建多因素协同驱动的高边坡稳定性评价指标体系及其等级划分标准，综合利用梯层指标的主客观组合赋权方法，并考虑到评价中的模糊性和随机性特点，引入模糊熵和云理论，建立了适应于高边坡稳定性多维评价梯级云模型。最后应用于锦屏Ⅰ级水电站左岸边坡的稳定性评价，对比分析了不同评价方法的计算结果，从而佐证了文中提出方法的有效性。

Stability evaluation method for high slope based on fuzzy cloud theory combined with weights

The high slope of the hydropower project is a complex system jointly affected by many internal and external factors. There are different kinds of methods used for overall stability evaluation of high slopes, but these traditional methods usually have some shortcomings. A high slope stability evaluation method is proposed in view of the difficulties in determining the weights of the index and the fuzzy membership degree. Constructing a multi-factor coordination index system and grading the standards for the high slope stability evaluation, comprehensively utilizing the combined subjective and objective weighting methods of the ladder level index, and considering the fuzzy and stochastic characteristics of the evaluation indices, a cloud model suitable for high slope stability multidimensional cascade evaluation is established with the aid of the fuzzy entropy and cloud theory. The left bank of the Jinping hydropower station (the first cascade) is taken as a case history to study and analyse in order to demonstrate the validity of the proposed method mentioned above, comparing with the calculated results given by various evaluation methods.