DocumentCode :
2612144
Title :
Functional dependencies revisited under graduality and imprecision
Author :
Bosc, Patrick ; Liétard, Ludovic ; Pivert, Olivier
Author_Institution :
IRISA, Lannion, France
fYear :
1997
fDate :
21-24 Sep 1997
Firstpage :
57
Lastpage :
62
Abstract :
In the database area, the notion of data property has been recognized for two main purposes: data control when the property is a constraint; and knowledge discovery when the property is the result of a mining process. Among the properties, functional dependencies (FD) have received special attention for many years, since they are connected with database design. Different extensions of functional dependencies have been proposed but the semantics sometimes remains obscure. This paper discusses the semantics of basic extensions of a functional dependency when fuzzy sets (and/or possibility) theory is used. The case of a relational database where tuples may contain imperfectly known values is specifically investigated
Keywords :
data integrity; database theory; deductive databases; fuzzy set theory; knowledge acquisition; possibility theory; relational algebra; relational databases; uncertainty handling; constraint handling; data control; data mining; data property; database design; functional dependencies; fuzzy sets; graduality; imperfectly known values; imprecision; knowledge discovery; possibility theory; relational database; semantics; tuples; Context modeling; Electronic mail; Fuzzy sets; Iris; Relational databases; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society, 1997. NAFIPS '97., 1997 Annual Meeting of the North American
Conference_Location :
Syracuse, NY
Print_ISBN :
0-7803-4078-7
Type :
conf
DOI :
10.1109/NAFIPS.1997.624011
Filename :
624011
Link To Document :
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