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Standard Errors of Indices in Rough Set Data Analysis

  • Günther Gediga
  • Ivo Düntsch
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8375)

Abstract

The sample variation of indices for approximation of sets in the context of rough sets data analysis is considered. We consider the γ and α indices and some other ones – lower and upper bound approximation of decision classes. We derive confidence bounds for these indices as well as a two group comparison procedure. Finally we present procedures to compare the approximation quality of two sets within one sample.

Keywords

Simple Random Sampling Approximation Quality Decision Attribute Delta Method Rule System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Günther Gediga
    • 1
  • Ivo Düntsch
    • 2
  1. 1.Department of Psychology, Institut IVUniversität MünsterMünsterGermany
  2. 2.Brock UniversitySt. CatharinesCanada

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