Title :
New semantics for the membership degree in fuzzy databases
Author_Institution :
Centre de Recherche en Inf. de Nancy, EXPRIM-CNRS, Vandoeuvre-les-Nancy
Abstract :
This paper proposes a definition of a fuzzy relational schema that include fuzzy integrity constraints (FIC). Unlike others approaches, we assign a degree to each tuple of the relation which measures of the compatibility between tuples and constraints defined on the relation. Among FIC, we are interested in fuzzy explicit integrity constraints (FEIC) that are not supported by the data model. To specify them, we propose an extension of an assertion language used to describe integrity constraints in relational databases. Using the possibility theory, we finally explain the method to calculate the compatibility degree within the limit of individual constraints
Keywords :
data integrity; database theory; fuzzy logic; possibility theory; relational algebra; relational databases; specification languages; assertion language; compatibility; data model; fuzzy databases; fuzzy explicit integrity constraints; fuzzy integrity constraints; fuzzy relational schema; integrity constraints; membership degree; possibility theory; relational databases; semantics; tuple; Calculus; Constraint theory; Data mining; Data models; Database systems; Fuzzy logic; Measurement uncertainty; Query processing; Relational databases;
Conference_Titel :
Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-7126-2
DOI :
10.1109/ISUMA.1995.527772