DocumentCode
1628696
Title
Rules discovery in fuzzy relational databases
Author
Cubero, J.C. ; Pons, O. ; Medina, J.M. ; Vila, M.A.
Author_Institution
Dept. de Ciencias de la Comput. e Inteligencia Artificial, Granada Univ., Spain
fYear
1995
Firstpage
414
Lastpage
419
Abstract
We are concerned with the problem of defining a fuzzy dependency in the framework of a fuzzy relational database. Of prime interest is the development of a fuzzy algebra operator, which allows us to store that information in a separated relation with fewer tuples. Its definition can be carried out through a crisp criterion or through a fuzzy one: we study the necessary restrictions for each case
Keywords
database theory; fuzzy logic; knowledge representation; relational algebra; relational databases; crisp criterion; fuzzy algebra operator; fuzzy criterion; fuzzy dependency; fuzzy relational databases; rule discovery; separated relation; tuples; Algebra; Artificial intelligence; Bismuth; Fuzzy sets; Kernel; Relational databases; Terminology;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ISUMA.1995.527731
Filename
527731
Link To Document