Fuzzy probability measures (FPM) based non-symmetric membership function: Engineering examples of ground subsidence due to underground mining

被引：23
作者：
Li, Wen-Xiu [1 ]
Liu, Lin [1 ]
Dai, Lan-Fang [1 ]
机构：
[1] Hebei Univ, Coll Machinery & Civil Engn, Baoding 071002, Peoples R China
来源：
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | 2010年 / 23卷 / 03期
关键词：
Fuzzy probability measures; Non-symmetric membership function; Underground mining; Ground subsidence; Inclined coal seam; PREDICTION; SURFACE; MODEL;
D O I：
10.1016/j.engappai.2010.01.003
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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. (C) 2010 Elsevier Ltd. All rights reserved.
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收藏
页码：420 / 431
页数：12
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