In order to accurately predict the surface maximum vertical subsidence in mining, the fuzzy relational equation between mine subsidence factors and impacts is established with the fuzzy mathematical theory and methods. And the fuzzy matrix conversion method is adopted to find the relationship among the factors and get the maximum vertical subsidence based on the indicators of all relevant factors of the coal face. The measured data of the mining area are used to verify the model with the expected results of the maximum relative error 9%, which can meet the requirements of mining subsidence. Research results indicate that the fuzzy relational equation method can accurately predict the surface maximum vertical subsidence value, thus providing a new approach for mining subsidence prediction.
LIAN Zeng-Zeng, TAN Zhi-Xiang, LI Pei-Xian, DING Pei, TUO Wan-Bing.Application of Fuzzy Relational Equation to the Prediction of Surface Maximum Vertical Subsidence in Mining Subsidence[J] METAL MINE, 2010,V39(7): 132-135