Slope Stability Prediction Using Grey Entropy Correlation Analysis

Slope stability prediction based on the grey entropy relational analysis (GERA) was carried out. First, the entropy weight method was applied to determine the weight of each influencing factor, and the GERA model was established. Then, 30 slope engineering cases were collected from the literature as a reference sample database, and another ten slope engineering cases were used as prediction samples. Finally, the GERA method was used to calculate the grey entropy relational degree between each prediction sample and 30 reference samples to evaluate the stability of the prediction sample slope. The results show that the stability predicted results of 10 slopes obtained by GERA are entirely consistent with the actual slope stability state. Case analysis confirms that the GERA model can effectively predict the slope stability state.