EXTENSION OF THE RELATIONAL DATABASE AND ITS ALGEBRA WITH ROUGH SET TECHNIQUES

Citation
T. Beaubouef et al., EXTENSION OF THE RELATIONAL DATABASE AND ITS ALGEBRA WITH ROUGH SET TECHNIQUES, Computational intelligence, 11(2), 1995, pp. 233-245
Citations number
15
Categorie Soggetti
Computer Sciences, Special Topics","Computer Science Artificial Intelligence
Journal title
ISSN journal
08247935
Volume
11
Issue
2
Year of publication
1995
Pages
233 - 245
Database
ISI
SICI code
0824-7935(1995)11:2<233:EOTRDA>2.0.ZU;2-5
Abstract
This paper describes a database model based on the original rough sets theory. Its rough relations permit the representation of a rough set of tuples not definable in terms of the elementary classes, except thr ough use of lower and upper approximations. The rough relational datab ase model also incorporates indiscernibility in the representation and in all the operators of the rough relational algebra. This indiscerni bility is based strictly on equivalence classes which must be defined for every attribute domain. There are several obvious applications for which the rough relational database model can more accurately model a n enterprise than does the standard relational model. These include sy stems involving ambiguous, imprecise, or uncertain data. Retrieval ove r mismatched domains caused by the merging of one or more applications can be facilitated by the use of indiscernibility, and naive system u sers can achieve greater recall with the rough relational database. In addition, applications inherently ''rough'' could be more easily impl emented and maintained in the rough relational database.