Title :
Fuzzy identification in fuzzy databases-the nuanced relational division
Author :
Mouaddib, Noureddine
Author_Institution :
Centre de Recherche en Inf. de Nancy, Vandoeuvre, France
Abstract :
The author reviews research in fuzzy databases, and proposes an extension of the relation division operator to fuzzy databases. A model for fuzzy information is provided and the identification problem in fuzzy databases is resolved. Three notions are relevant: the concept of nuanced information for representing fuzzy values and the associated nuance; the nuanced division operator; and the possibility of weighting attributes to express data and query pertinence and trust. It is shown that the problem of fuzzy identification with the nuanced division operator can be resolved
Keywords :
fuzzy set theory; relational databases; fuzzy databases; fuzzy information; identification problem; nuanced division operator; nuanced information; query pertinence; relation division operator; weighting attributes; Algebra; Fuzzy set theory; Fuzzy sets; Information retrieval; Mathematical model; Null value; Possibility theory; Relational databases; Set theory; Uncertainty;
Conference_Titel :
Uncertainty Modeling and Analysis, 1993. Proceedings., Second International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-3850-8
DOI :
10.1109/ISUMA.1993.366729
