摘要
概念格作为一种数学方法在数据挖掘和知识处理中有重要意义,本文基于概念格提出了关于形式背景的知识约简理论,并借助于粗糙集理论中关于信息系统知识约简的思想,给出了概念格中形式背景约简的判定定理和相应的可辨识属性矩阵,从而为概念格中形式背景知识约简提供了一种有效方法。
Formal Concept Analysis has very important meaning in mathematical methods for data mining and knowledge processing. Knowledge reduction in formal context based on concept lattice is dealt with in this paper. By the similar idea in knowledge reduction of information systems in rough set theory, the judgement theorems of knowledge reduction for formal context in concept lattice and discernibility matrices are proposed. Furthermore, the approaches to knowledge reduction in concept lattice are presented.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2005年第6期641-645,共5页
Pattern Recognition and Artificial Intelligence
基金
国家973计划资助项目(No.2002BC312200)
关键词
概念格
形式背景
知识约简
协调集
Concept Lattice, Formal Context, Knowledge Reduction, Consistent Set
