Multivalued dependencies in extended possibility-based fuzzy relational databases

Author

Ma, Z.M. ; Zhang, W.J.

Author_Institution

Saskatchewan Univ., Saskatoon, Sask., Canada

Volume

1

fYear

2001

fDate

25-28 July 2001

Firstpage

352

Abstract

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

Keywords

equivalence classes; fuzzy set theory; possibility theory; relational databases; Armstrong axioms; FMVDs; attribute domain elements; attribute values; classical cases; data fuzziness; extended possibility-based fuzzy relational databases; fuzzy data; fuzzy multivalued dependencies; multivalued dependencies; possibility attributions; proximity relations; semantic equivalence; sound inference rules; Data models; Fuzzy sets; Hamming weight; Relational databases;

fLanguage

English

Publisher

ieee

Conference_Titel

IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-7078-3

Type

conf

DOI

10.1109/NAFIPS.2001.944277

Filename

944277