IRIS Revisited: A Comparison of Discriminant and Enhanced Rough Set Data Analysis

  • Ciarán Browne
  • Ivo Düntsch
  • Günther Gediga
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 19)


Rough set data analysis (RSDA) was introduced to Computer Science in the early 1980s by Z. Pawlak [Paw82] and has since come into focus as an alternative to the more widely used methods of machine learning and statistical data analysis. A good overview of the state of the art are Fundamenta Informaticae, Vol. 27 (1996), and [LC97].


Discriminant Analysis Iris Data Approximation Quality Sepal Length Binary Attribute 
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 1998

Authors and Affiliations

  • Ciarán Browne
    • 1
  • Ivo Düntsch
    • 1
  • Günther Gediga
    • 2
  1. 1.School of Information and Software EngineeringUniversity of UlsterNewtownabbeyN.Ireland
  2. 2.FB Psychologie / MethodenlehreUniversität OsnabrückOsnabrückGermany

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