Uncertainty modeling for database design using intuitionistic and rough set theory

Article type: Research Article

Authors: Beaubouef, Theresa | Petry, Frederick E.

Affiliations: Southeastern Louisiana University, Department of Computer Science & IT, Hammond, LA 70402, USA | Naval Research Laboratory, Stennis Space Center, Mississippi, 39529, USA

Note: [] Corresponding author. Tel.: +1 228 688 4948; Fax: +1 228 688 4853; E-mail: [email protected]

Abstract: This paper introduces the intuitionistic rough set and intuitionistic rough relational and rough object oriented database models. Rough set, fuzzy set, and intuitionistic set uncertainty management are discussed and compared, and the model based on intuitionistic and rough sets developed here is applied to databases. The intuitionistic rough set database models draw benefits from both the rough set and intuitionistic techniques, providing greater management of uncertainty for databases applications in a less than certain world.

DOI: 10.3233/IFS-2009-0422

Journal: Journal of Intelligent & Fuzzy Systems, vol. 20, no. 3, pp. 105-117, 2009