|本期目录/Table of Contents|

[1]罗景峰,许开立.基于可变模糊组合方法的瓦斯涌出量预测[J].中国安全生产科学技术,2011,7(6):29-32.
　LUO Jing-feng,XU Kai-li.Gas Emission Rate Forecast Based on variable fuzzy Combination method [J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2011,7(6):29-32.
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基于可变模糊组合方法的瓦斯涌出量预测()
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
7
期数:
2011年6期
页码:
29-32
栏目:
学术论著
出版日期:
2011-06-30

文章信息/Info

Title:
Gas Emission Rate Forecast Based on variable fuzzy Combination method
文章编号:
1673-193X(2011)-06-0029-04
作者:
罗景峰; 许开立
东北大学资源与土木工程学院，沈阳? 110004
Author(s):
LUO Jing-feng;  XU Kai-li
School of Resources & Civil Engineering, Northeastern University, Shenyang? 110004, China
关键词:
可变模糊集; 聚类; 模式识别; 瓦斯涌出量; 预测
Keywords:
variable fuzzy sets;  cluster;  pattern recognition;  gas emission rate;  forecast
分类号:
X936
DOI:
-
文献标志码:
A
摘要:
矿井工作面瓦斯涌出是一个动态不确定过程。在分析了影响瓦斯涌出因素基础上,将可变模糊聚类与可变模糊模式识别两种模型相结合,提出了一种瓦斯涌出量预测的可变模糊组合方法。该方法首先利用粗糙集理论确定权重初值及各因素的重要性,然后利用可变模糊聚类模型求解最优模糊分类中心矩阵和最优权重,最后利用模式识别模型对待预测样本进行预测。以某矿井瓦斯涌出量预测为例,给出了具体预测过程。结果表明:可变模糊组合方法可行、有效。
Abstract:
Mine gas emission is a dynamic uncertain process. Base on the analysis of the impact factors of gas emission, the variable fuzzy cluster model and the variable fuzzy pattern recognition model are combined, a variable fuzzy combination method of forecast of gas emission rate is presented. In this method, firstly the objective weight is calculated by rough set theory, and subjective weight is calculated by two element contrasting method. Then the comprehensive weight is calculated by addition integration method and multiplication integration method. Finally use the variable fuzzy cluster model to solve optimal fuzzy classification center matrix, and finally use pattern recognition model to forecast the forecasting samples. Through the example of a mine gas emission forecast, a specific forecast process is given. The results show that variable fuzzy Combination method is feasible and effective. It present a new way to the problem of mine gas emission forecast.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期：2011-04-08
作者简介：罗景峰，博士研究生，工程师。
更新日期/Last Update: