KNOWLEDGE REPRESENTING FEATURES IN ROUGH SETS THEORY

Authors

  • Oļegs Užga-Rebrovs Rēzeknes Augstskola (LV)

DOI:

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

Keywords:

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

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.

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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.

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Published

2015-08-03

Issue

Vol. 2 (2009): Environment. Technology. Resources. Proceedings of the 7th International Scientific and Practical Conference. Volume 2

Section

VI Computer science and environment

How to Cite

[1]
O. Užga-Rebrovs, “KNOWLEDGE REPRESENTING FEATURES IN ROUGH SETS THEORY”, ETR, vol. 2, pp. 169–176, Aug. 2015, doi: 10.17770/etr2009vol2.1045.