Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
381620 | Engineering Applications of Artificial Intelligence | 2010 | 12 Pages |
Abstract
This paper introduces a new FPM method for prediction of surface subsidence due to inclined coal seam mining. Based on the non-symmetric membership function and the definition of the fuzzy probability measure, the mathematical model for the two-dimensional problem is developed and applied to the analysis of ground subsidence due to underground mining of inclined coal seam. The results of calculation with the new model indicate that the predicted value has good agreement with the measured data.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Wen-Xiu Li, Lin Liu, Lan-Fang Dai,