区间值决策形式背景的属性值向量约简  

Reduction of Attribute Values Based on Interval-valued Formal Decision Contexts

作　　者：黄艳[1] 任苗苗[1] 魏玲[1] 

机构地区：[1]西北大学数学系,西安710069

出　　处：《计算机科学》2012年第1期193-197,共5页Computer Science

基　　金：国家自然科学基金(11071281;61005042)资助

摘　　要：概念格是一种潜力极大的有效的知识发现工具,现已被广泛应用于计算机网络、数据挖掘等领域。针对现实生活中信息的不确定性,定义了区间值决策形式背景;通过讨论条件区间形式背景与决策区间形式背景概念格之间的关系,研究了区间值决策形式背景的协调性,进一步研究了属性值向量约简,使得原背景在属性及属性区间值两个方面得到简化。The theory of concept lattices is an efficient tool for knowledge discovery,and is applied to many fields.Considering the information uncertainty in the real world,the paper defined the interal-valued formal decision context.Based on which,the consistence of the interval-valued formal decision context was studied through the relation between condition context and decision context,and further,the reduction of attribute value vectors was studied,which makes the attribute number and interval-value of attribute simpler than before.

关 键 词：区间值决策形式背景 概念格 协调性 属性值向量约简 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]