摘要
针对现代工业生产过程中控制规则提取较难的问题,本文提出了一种基于粗糙集理论的数据挖掘方法,此种方法避免了以往关联规则挖掘的缺陷,较大的降低计算复杂度。通过对水泥生产过程中分解炉出口温度的控制规则进行提取,有效地说明了该方法的合理性。
In accordance with the the problem that control rules are difficult to extract in modern industrial production process, this paper puts forward a data mining method based on rough sets, which avoided the defect of provious association rule mining , reduced the computational complexity considerably. In addition, by extracting the control rule of the temperature of decomposing furnace in the cement production process.
出处
《微计算机信息》
2012年第6期136-137,78,共3页
Control & Automation
关键词
粗糙集
决策系统
属性约简
分解炉
决策规则提取
Rough sets
Decision system
Attribute reduction
Decomposing furnace
Decision rules extraction
