Rough Relational Operators and Rough Entropy in Rough Relational Database

Author

Jiang, Feng ; Liu, Guozhu

Author_Institution

Coll. of Inf. & Sci. Technol., Qingdao Univ. of Sci. & Technol., Qingdao

fYear

2009

fDate

23-25 Jan. 2009

Firstpage

761

Lastpage

764

Abstract

The relational database model (RDM), proposed by Codd, has been proven to be a very useful model in many applications. The inherent of the RDM is effective for precise and unambiguous data. However, real world applications often include imprecise and uncertain information. Therefore, Beaubouef et al. proposed the rough relational database model (RRDM) for the management of uncertainty in relational databases. In the RRDM, a tuple of a rough relation can have multi-values on some attributes, which is forbidden in the RDM. In this paper we give some new definitions for rough relational operators and rough entropy of rough relations in the rough relational databases. Furthermore, we discuss the possible connections between rough relational operators and rough entropy.

Keywords

data models; entropy; relational databases; rough set theory; uncertainty handling; rough entropy; rough relational database model; rough relational operator; rough set theory; uncertainty management; Data analysis; Data mining; Educational institutions; Entropy; Fuzzy set theory; Information systems; Relational databases; Rough sets; Set theory; Uncertainty; Entropy; RDM; RRDM; Relational Operators; Rough sets;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on

Conference_Location

Moscow

Print_ISBN

978-0-7695-3543-2

Type

conf

DOI

10.1109/WKDD.2009.115

Filename

4772047