KNOWLEDGE REPRESENTING FEATURES IN ROUGH SETS THEORY

Oļegs Užga-Rebrovs

Abstract


Knowledge discovering and representing in information systems has evolved into an important area of research because of theoretical challenges and practical representing unknown knowledge in data. Rough set theory is a mathematical formalism for representing uncertainty that can be considered a special extension of the set theory. In this paper is analyzed knowledge representing problem and attribute signification’s problem, based on rough sets approach.

Keywords


information systems; knowledge representation; rough sets; significance of attributes

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References


Pawlak Z. Rough sets. Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht/Boston/London, 1991. 229 p.

Shafer G. A mathematical theory of evidence. Princeton University Press, 1976. 297 p.

Smarandache F. & Dezert J. (Editors). Advances and Applications of DSmT for Information Fusion. Volume 1, American Research Press, Rehobolth, 2004.

Tripathy H.K., Tripaty B.K., and Das P.K. An Intelligent Approach of Rough Set in Knowledge Discovery Databases. International Journal of Computer Science and Engineering, 2008. pp. 89-93.




DOI: https://doi.org/10.17770/etr2009vol2.1045

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