粗糙概念格分层建格算法及应用  

Layered Construction Algorithm and Application of Rough Concept Lattice

作　　者：刘保相[1] 陈焕焕[1] 柳洁冰[1] 

机构地区：[1]河北联合大学理学院,唐山063009

出　　处：《计算机科学》2013年第4期214-216,共3页Computer Science

基　　金：河北省自然科学基金(A2011209046;A2012209030)资助

摘　　要：粗糙概念格能够反映对象与特征间的确定与不确定关系,具有处理不确定性知识的能力,格的构建在应用过程中具有重要的意义。通过分析粗糙概念格的概念和结构,并结合一般概念格的构建思想,针对决策形式背景,提出一种以决策属性值为切入点的粗糙概念格的分层建格方法,从而丰富了粗糙概念格的构建理论。通过实例验证了该方法简单直观,效果良好。Rough concept lattice can reflect the certain and uncertain relationships between objects and attributes,and can deal with uncertainty knowledge.It is an important task to construct concept lattice efficiently in the applications.Analyzing the concept and structure of rough concept lattice,and combining with the construction of the general concept lattice thought,this paper proposed a layered construction algorithm,which is based on the decision-attribute value in decision context as the breakthrough point,and enriches the construction theory.The examples show that this algorithm is simple and intuitive,and gets good effect.

关 键 词：粗糙概念格 分层建格 决策属性值 近似 内涵 外延 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]