摘要
提出了基于粗糙集理论建立瓦斯突出预测模型。针对粗糙集理论研究离散化数据的特点,考虑类分布信息,采用信息熵理论进行连续条件属性的离散化。在此基础上,利用粗糙集约简算法剔除冗余属性,得到约简属性,并进行规则提取,最后进行实例研究检验。结果表明,预测模型有较高的准确率。
The gas outburst forecast model was brought forward. Firstly, as rough set requires discretization data, considering distributed information of class, continual condition attributes are discretized by adopting information entropy theory. On the basis of that, redundancy attributes are eliminated using rough set reduction algorithm. Reduction attributes and rules are gained. Finally, through instances test the result indicates that the forecast model has higher exact ratio.
出处
《实验室研究与探索》
CAS
北大核心
2009年第6期41-43,51,共4页
Research and Exploration In Laboratory
基金
黑龙江省教育厅科学技术研究项目(11531332)
关键词
粗糙集
瓦斯突出
信息熵
离散化
routh set
gas outburst
information entropy
discretization
