Reduction Methods for Medical Data

  • Hideo Tanaka
  • Yutaka Maeda
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 19)


Pawlak [Pal] has proposed the concept of approximate data analysis based on rough sets in 1982. Rough set theory has been developed to deal with many real-life problems. Basic concepts of rough set theory can be found in [Pa3] and [PG].


Accuracy Measure Reduction Method Binary Data Binary Representation Approximation Space 
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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    Lenarcik, A. and Piasta, Z.: Deterministic rough classifiers. In: T.Y. Lin (ed.): Proceedings of the Third International Workshop on Rough Sets and Soft Computing (RSSC’94), San Jose State University, San Jose, California, USA, November 10–12, (1994) 434–441Google Scholar
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    Pawlak, Z.: Rough sets. Int. J. of Information and Computer Sciences 11 (1982) 341–356CrossRefGoogle Scholar
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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Hideo Tanaka
    • 1
  • Yutaka Maeda
    • 1
  1. 1.Department of Industrial EngineeringOsaka Prefecture UniversitySakai, OsakaJapan

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