Novel Fuzzy Clustering Algorithm to Predict Gas Outburst Zone

机译：瓦斯突出区预测的新型模糊聚类算法

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Gas outburst in coal is one of the most serious natural disasters during coal mining engineering in coal mines. How to predict outburst zone availably and prevent outburst rightly is an important project in technical research of mine safety. Advanced fuzzy mathematics based on a novel fuzzy clustering algorithm was used to predict gas outburst zone in China. The first part focuses on membership function was constructed and fuzzy nearness was used to calculate the degree of similarity between every tow fuzzy set vectors; then the case study for prediction of gas outburst zone in coal mines by fuzzy clustering analysis has been carried out. The result of this case study shows that the prediction result of gas outburst zone consisted with Qingshan Coal Mine's historical data.

机译：煤矿瓦斯突出是煤矿开采工程中最严重的自然灾害之一。如何有效地预测突出区，正确地防止突出是矿山安全技术研究的重要课题。基于一种新颖的模糊聚类算法的高级模糊数学被用于预测中国的瓦斯突出区域。第一部分着重于隶属度函数的构建，并利用模糊接近度计算两个模糊集向量之间的相似度。然后进行了基于模糊聚类分析的煤矿瓦斯突出区预测的案例研究。实例研究结果表明，瓦斯突出区的预测结果与青山煤矿的历史数据一致。

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来源
《International Symposium on Safety Science and Technology; 20061024-27; Changsha(CN)》|2006年|P.1724-1728|共5页
会议地点 Changsha(CN)
作者
SUN Peide;
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作者单位

Department of Environmental Engineering, Zhejiang Gongshang University, Hangzhou 310035, Zhejiang, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类安全工程;
关键词
fuzzy clustering; gas outburst zone; mine safety; coal seam;

机译：模糊聚类瓦斯突出区煤矿安全煤层;

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Novel Fuzzy Clustering Algorithm to Predict Gas Outburst Zone

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