Functional dependencies in extended possibility-based fuzzy relational databases

Author

Ma, Z.M. ; Zhang, W.J. ; Ma, W.Y. ; Chen, G.Q.

Author_Institution

Dept. of Manuf. Eng. & Eng. Manage., City Univ. of Hong Kong, China

Volume

2

fYear

2000

fDate

2000

Firstpage

929

Abstract

Based on the fuzzy relational databases where fuzziness of data appears in attribute values in the forms of possibility attributions as well as proximity relations in attribute domain elements, called extended possibility-based fuzzy relational databases, a notion of semantic equivalence of fuzzy data is introduced in this paper. Following this notion, we focus on the issues of fuzzy functional dependencies. A set of sound inference rules, which are similar to Armstrong´s axioms (1974) for classical cases, for fuzzy functional dependencies, are proposed

Keywords

database theory; fuzzy set theory; inference mechanisms; possibility theory; relational databases; Armstrong axioms; functional dependency; fuzzy relational databases; inference rules; possibility theory; proximity relations; semantic equivalence; Chromium; Cities and towns; Data engineering; Data models; Data security; Engineering management; Fuzzy logic; Fuzzy sets; Manufacturing; Relational databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on

Conference_Location

San Antonio, TX

ISSN

1098-7584

Print_ISBN

0-7803-5877-5

Type

conf

DOI

10.1109/FUZZY.2000.839156

Filename

839156