FTS relational data model for source-aware fuzzy relational multidatabases

Author

Sharma, A.K. ; Goswami, A. ; Gupta, D.K.

Author_Institution

Dept. of Math., Indian Inst. of Technol., Kharagpur, India

Volume

1

fYear

2004

fDate

28 June-1 July 2004

Firstpage

134

Abstract

In this paper, using the concepts of fuzzy sets and possibility theory, a FTS relational model is developed to extend the TS-relational model [Ee Peng Lim et al., 1999]. The extended model integrates local fuzzy databases by merging the respective export fuzzy databases to generate a set of FTS relations of fuzzy multidatabase. A set of algebraic operations is defined to manipulate the FTS relations. A query language FTS-SQL has been proposed to formulate global queries on the FTS relations. An architecture for distributed query processing with a strategy for query decomposition and optimization is also proposed.

Keywords

data models; distributed databases; fuzzy set theory; query languages; query processing; relational databases; SQL; distributed query processing; fuzzy databases; fuzzy sets; multidatabase system; possibility theory; query language; query optimization; relational data model; Data models; Database languages; Database systems; Distributed databases; Fuzzy sets; Mathematics; Merging; Query processing; Relational databases; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers and Communications, 2004. Proceedings. ISCC 2004. Ninth International Symposium on

Print_ISBN

0-7803-8623-X

Type

conf

DOI

10.1109/ISCC.2004.1358394

Filename

1358394