粗糙形式概念抽取的属性集合幂集方法  

Attribute sets power set method of rough formal concept extracting

作　　者：王丹[1] 黄映辉[1] 李冠宇[1] 

机构地区：[1]大连海事大学信息科学技术学院,辽宁大连116026

出　　处：《计算机工程与设计》2011年第9期3162-3165,共4页Computer Engineering and Design

基　　金：国家自然科学基金项目(60972090)

摘　　要：为了最大限度地抽取出形式背景中的粗糙形式概念,以便为粗糙概念格的构建提供完整的信息源,对粗糙形式概念的抽取进行了研究,提出了粗糙形式概念抽取的属性集合幂集方法。其操作要点为:粗糙形式概念的内涵由属性集合幂集方法所求得的子集确定,粗糙形式概念的外延由属性集合幂集所对应对象的上下近似集确定。该方法实现了粗糙形式概念的抽取,保证了从形式背景中抽取出概念的完整性,并能发掘一些隐含的概念,该方法简单快捷,易于计算机实现。To fully extract all the rough formal concepts from the formal context and to expediently provide intact information resource for rough concept lattice construction,the rough formal concept extracting is researched,and a rough formal concept extracting method by calculating attribute sets power set is put forward.The operation points are： the intension of the rough formal concept is determined by the subsets which obtained from the calculating attribute sets power set method,the extension of it is decided by the upper and the lower approximate sets of the object which the attribute sets power set correspond to.This method realizes the extracting of the rough formal concept,ensures the integrality of the concepts which are extracted from the formal context,and is able to excavate some implication concepts.It is simple and quick,and easy to be implemented by a computer.

关 键 词：形式背景 粗糙概念格 粗糙形式概念 形式概念抽取 属性集合幂集 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]