Approximation Space and LEM2-like Algorithms for Computing Local Coverings

  • Authors:
  • Jerzy W. Grzymala-Busse;Wojciech Rząsa

  • Affiliations:
  • (Correspd.) Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS 66045, USA. jerzy@ku.edu;Department of Computer Science, University of Rzeszow, 35-310 Rzeszow, Poland. wrzasa@univ.rzeszow.pl

  • Venue:
  • Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
  • Year:
  • 2008

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Abstract

In this paper we discuss approximation spaces that are useful for studying local lower and upper approximations. Set definability and properties of the approximation space, including best approximations, are considered as well. Finding best approximations is a NP-hard problem. Finally, we present LEM2-like algorithms for determining local lower and upper coverings for a given incomplete data set. Lower and upper approximations, associated with these coverings, are sub-optimal.