An illustration of the effect of continuous valued discretisation in data analysis using VPRSβ

  • Authors:
  • Malcolm J. Beynon

  • Affiliations:
  • Cardiff Business School, Cardiff University, Wales, UK

  • Venue:
  • RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
  • Year:
  • 2003

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Abstract

This paper explores the effect of the results from the continuous valued discretisation (CVD) of condition attributes in an analysis using the variable precision rough sets model (VPRSβ). With the utilisation of an ordered criteria for the identification of an associated β-reduct, a 'leave n out' approach is undertaken in the subsequent analysis. A small example problem is considered for which three alternative methods of CVD are used to intervalise the continuous condition attributes. For each CVD approach used 1500 decision tables are constructed and VPRSβ analysis undertaken.