Abstract Predicting slope settlement in open-pit mines is an important means to grasp the trend of slope movement and guarantee the safe operation of the mine. Aiming at the problem that for the UBGM(1,1)-Markov model, two neighboring values may be assigned to different states, leading to deviations in predicted values; combined with fuzzy classification theory, we propose an unbiased grey-Markov model based on fuzzy classification model(FC-UBGM(1,1)-Markov). First, the residual correction is performed on the UBGM(1,1) model; the relative residual sequence of the fitted values after the correction is used as the Markov chain to divide the interval, and the membership function of the fuzzy classification is used to calculate the fuzzy vector of the relative residual. The accuracy of this prediction model is analyzed through actual cases. The experiment results show that, compared with the traditional UBGM(1,1)-Markov model, the predictive power of the model in this paper is better.
MA Zhanwu,HE Bing,LU Mingxing et al. The Prediction of Slope Settlement of Open-Pit Mine Using UBGM(1,1)-Markov Model Based on Fuzzy Classification[J]. jgg, 2020, 40(12): 1259-1262.
MA Zhanwu,HE Bing,LU Mingxing et al. The Prediction of Slope Settlement of Open-Pit Mine Using UBGM(1,1)-Markov Model Based on Fuzzy Classification[J]. jgg, 2020, 40(12): 1259-1262.
