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个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:东北大学
学位:博士
所在单位:控制科学与工程学院
学科:应用数学. 应用数学. 控制理论与控制工程
办公地点:创新园大厦A0620
联系方式:电话: (+86-411) 84726020 (home) (+86-411) 84709380 (Office) 传真: (+86-411) 84707579 手机: (+86-411) 13130042458
电子邮箱:xdliuros@dlut.edu.cn
Concept analysis via rough set and AFS algebra
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论文类型:期刊论文
发表时间:2008-11-01
发表刊物:INFORMATION SCIENCES
收录刊物:SCIE、EI、Scopus
卷号:178
期号:21
页面范围:4125-4137
ISSN号:0020-0255
关键字:formal concept analysis; concept lattice; AFS algebra; AFS formal concept; rough set; concept approximation
摘要:Formal concept analysis (FCA) was originally proposed by Wille (1982), which is an important theory for data analysis and knowledge discovery. AFS (axiomatic fuzzy set) algebra was proposed by Liu [X Liu, The fuzzy theory based on AFS algebras and AFS structure, journal of Mathematical Analysis and Applications 217 (1998) 459-478; X. Liu, The topology on AFS algebra and AFS structure, journal of Mathematical Analysis and Applications 217 (1998) 479-489], which is a semantic methodology relating to the fuzzy theory. Combining above two theories, we propose AFS formal concept, which can be viewed as the generalization and development of monotone concept proposed by Deogun and Saquer (2003). Moreover, we show that the set of all AFS formal concepts forms a complete lattice. AFS formal concept can be applied to represent the logic operations of queries in information retrieval. Furthermore, we give an approach to find the AFS formal concepts whose intents (extents) approximate any element of AFS algebra by virtue of rough set theory. (C) 2008 Elsevier Inc. All rights reserved.