基于粗糙概念格的属性约简及规则获取  

Based on Rough Concept Lattice Attribute Reduction and Rule Acquisition

作　　者：黄加增[1] 

机构地区：[1]福建农林大学东方学院,福建福州350017

出　　处：《软件》2011年第10期16-19,23,共5页Software

摘　　要：基于粗糙集和概念格理论进行结合,给出了决策背景下的多属性约简与规则提取方法。为此,针对决策背景的辨识矩阵和辨识函数给出了决策背景属性约简的具体属性约简方法;在此基础上得到了决策背景下的规则提取与属性约简方法,并通过实例表明了该约简方法的可行性与有效性.Based on a combination of rough set and concept lattice theory, this thesis gives the attribute reduction and rule extraction method under the decision-making context and attribute reduction of decision-making context specific attribute reduction method for the decision-making context of discernibility matrix and identification functions; which results in rule extraction and attribute reduction method under the decision-making context, and illustrates that the reduction approach is feasible and effective.

关 键 词：粗糙集 概念格 粗糙概念格 多属性决策 决策规则 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]