粗糙集理论的数据挖掘方法在水泥生产分解炉中的应用  

Application of Data Mining Method Based on Rough Sets in Cement Production decomposing furnace

作　　者：王夙娟[1] 

机构地区：[1]菏泽学院计算机与信息工程系,山东菏泽274015

出　　处：《微计算机信息》2012年第6期136-137,78,共3页Control & Automation

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.

关 键 词：粗糙集 决策系统 属性约简 分解炉 决策规则提取 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]