概念格研究进展  

Progress in concept lattice research

作　　者：杨强[1] 赵明清[2] 

机构地区：[1]烟台南山学院,山东烟台265713 [2]山东科技大学信息科学与工程学院,山东青岛266510

出　　处：《计算机工程与设计》2008年第20期5293-5296,共4页Computer Engineering and Design

基　　金：国家自然科学基金项目(60603090)

摘　　要：概念格理论是一种有效的知识表示与知识发现的工具,已被成功应用于许多领域。介绍了国内外现有的建格算法及概念格上分类规则和关联规则提取方法,比较了各种建格算法的优缺点,讨论了概念格属性约简理论的研究方法和研究进展。另外,还介绍了概念格在数据挖掘、信息检索、软件工程等领域的应用,给出了与粗糙集的关系及其它的一些研究成果。最后,给出了概念格有待完善的研究领域。Concept lattice is an effective tool for knowledge processing and knowledge discovery is successfully applied to many fields. The algorithms of building lattices at home and abroad is introduced, merits and drawbacks of these algorithms is compared, classification rules and association rules on concept lattices are discussed. The research progress of attribute reduction theory is given. Furthermore, the application of concept lattice in data mining, information retrieval and software engineer etc is also introduced, the relation about rough set and concept lattice is proposed. At last, the research fields needed to be further improved is given.

关 键 词：概念格 建格 知识约简 粗糙集 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]