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Rough Sets: A Versatile Theory for Approaches to Uncertainty Management in Databases

Rough Sets: A Versatile Theory for Approaches to Uncertainty Management in Databases
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Author(s): Theresa Beaubouef (Southeastern Louisiana University, USA) and Frederick E. Petry (Naval Research Laboratory, USA)
Copyright: 2009
Pages: 24
Source title: Database Technologies: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): John Erickson (University of Nebraska, Omaha, USA)
DOI: 10.4018/978-1-60566-058-5.ch065

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Abstract

This chapter discusses ways in which rough-set theory can enhance databases by allowing for the management of uncertainty. Rough sets can be integrated into an underlying database model, relational or object oriented, and also used in the design and uerying of databases, because roughsets are a versatile theory, theories. The authors discuss the rough relational databases model, the rough object-oriented database model, and fuzzy set and intuitionistic set extensions to each of these models. Comparisons and benefits of the various approaches are discussed, illustrating the usefulness and versatility of rough sets for uncertainty management in databases.

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