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	Data modeling with imprecise and linguistic information
	Chen, GQ
	2010-05-11 ; 2010-05-11
关键词	Fuzzy data modeling gimel-specialization extended relational algebra functional dependency with degree of satisfaction FUZZY FUNCTIONAL DEPENDENCY RELATIONAL DATA MODEL DECOMPOSITION DATABASES LANGUAGE Computer Science, Artificial Intelligence
中文摘要	Data modeling needs to consider imprecise and linguistic information so as to cope with fuzziness and partial knowledge often encountered in decision processes. This paper provides an overview of our efforts on fuzzy extensions to classical data models from two perspectives: one at a conceptual level, and the other at a relational database level, giving rise to fuzzy entity-relationship/enhanced entity-relationship (ER/EER) and relational database (RDB) models respectively. Furthermore, some of the recent developments are discussed, namely lambda-specialization in a fuzzy EER model, properties of the extended algebraic operators, and discovery of functional dependencies with degrees of satisfaction.
语种	英语 ; 英语
出版者	IOS PRESS ; AMSTERDAM ; NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/26136]
专题	清华大学
推荐引用方式 GB/T 7714	Chen, GQ. Data modeling with imprecise and linguistic information[J],2010, 2010.
APA	Chen, GQ.(2010).Data modeling with imprecise and linguistic information..
MLA	Chen, GQ."Data modeling with imprecise and linguistic information".(2010).

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