Representation of fuzzy knowledge in relational databases

Author

Galindo, José ; Urrutia, Angélica ; Piattini, Mario

Author_Institution

Dpto. Lenguajes y Ciencias de la Computacion, Malaga Univ., Spain

fYear

2004

fDate

30 Aug.-3 Sept. 2004

Firstpage

917

Lastpage

921

Abstract

We present how to implement fuzzy databases based on the relational model. This approach includes many fuzzy attribute types, which can express the most of fuzzy knowledge types. These fuzzy attribute types include imprecise attributes, fuzzy attributes associated to one or more attributes or with an independent meaning. In order to represent such fuzzy information we must study two aspects of fuzzy information: how to represent fuzzy data and how to represent fuzzy metaknowledge data. This second information is very important and it must be considered in any fuzzy database. We study the fuzzy metaknowledge data for any fuzzy attribute and how to represent both in a relational database.

Keywords

entity-relationship modelling; fuzzy set theory; knowledge representation; meta data; relational databases; fuzzy attribute types; fuzzy degrees; fuzzy knowledge representation; fuzzy knowledge types; fuzzy metaknowledge data; fuzzy relational databases; relational data model; Conferences; Expert systems; Fuzzy sets; Relational databases; Remuneration;

fLanguage

English

Publisher

ieee

Conference_Titel

Database and Expert Systems Applications, 2004. Proceedings. 15th International Workshop on

ISSN

1529-4188

Print_ISBN

0-7695-2195-9

Type

conf

DOI

10.1109/DEXA.2004.1333595

Filename

1333595