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Reduction Methods for Medical Data

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

Abstract

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].

Keywords

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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References

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    Dubois, D. and Prade, H.: Twofold fuzzy sets and rough sets-some issues in knowledge representation. Int. J. of Fuzzy Sets and Systems 23 (1987) 3–18CrossRefGoogle Scholar
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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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    Mrozek, A.: Rough sets and dependency analysis among attributes in computer implementat ions of expert’s inference models. Int. J. of Man-Machine Studies 30 (1989) 457–473CrossRefGoogle 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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    Shan, N., Hamilton, H. J., Ziarko, W. and Cercone N.: Discretization of continuous valued attributes in classification systems. In: S. Tsumoto, S. Kobayashi, T. Yokomori, H. Tanaka, and A. Nakamura (eds.): Proceedings of the Fourth International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery (RSFD’96), The University of Tokyo, November 6–8 (1996) 74–81Google Scholar

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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