DocumentCode :
2273338
Title :
Fuzzy normal forms and a dependency-preserving decomposition into &thetas;-F3NF
Author :
Chen, Guoqing ; Kerre, Etienne E. ; Vandenbulcke, Jacques
Author_Institution :
Dept. of Appl. Econ. Sci., Katholieke Univ., Leuven, Belgium
fYear :
1994
fDate :
26-29 Jun 1994
Firstpage :
156
Abstract :
In a fuzzy data model where imprecision of both attribute values and relationships among domain elements is taken into account, problems of data redundancy and update anomalies which are similar to those in classical databases are still found to exist. To cope with these problems, a number of fuzzy normal forms have been defined, based on fuzzy functional dependency, to serve as theoretical guidelines for fuzzy relational database design. This results in the notions of θ-keys, fuzzy first normal form (F1NF), θ-fuzzy second normal form (θ-F2NF), θ-fuzzy third normal form (θ-F3NF), and θ-fuzzy Boyce-Codd normal form (θ-FBCNF). Furthermore, the scheme decomposition into θ-F3NF is discussed in the light of the dependency-preserving property
Keywords :
database theory; fuzzy systems; relational algebra; relational databases; &thetas;-fuzzy Boyce-Codd normal form; &thetas;-fuzzy second normal form; &thetas;-fuzzy third normal form; &thetas;-keys; attribute value imprecision; data redundancy; dependency-preserving decomposition; domain element relationships; fuzzy data model; fuzzy first normal form; fuzzy functional dependency; fuzzy relational database design; normalization theory; update anomalies; Artificial intelligence; Buildings; Computer science; Data models; Guidelines; Informatics; Mathematics; Relational databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
Type :
conf
DOI :
10.1109/FUZZY.1994.343700
Filename :
343700
Link To Document :
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