Upper bounds on minimum cardinality of exact and approximate reducts

  • Authors:
  • Igor Chikalov;Mikhail Moshkov;Beata Zielosko

  • Affiliations:
  • Mathematical and Computer Sciences & Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia;Mathematical and Computer Sciences & Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia;Institute of Computer Science, University of Silesia, Sosnowiec, Poland

  • Venue:
  • RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
  • Year:
  • 2010

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Abstract

In the paper, we consider the notions of exact and approximate decision reducts for binary decision tables. We present upper bounds on minimum cardinality of exact and approximate reducts depending on the number of rows (objects) in the decision table. We show that the bound for exact reducts is unimprovable in the general case, and the bound for approximate reducts is almost unimprovable in the general case.