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
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.