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A Design of Architecture for Rough Set Processor

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 125))

Abstract

This paper proposes architecture of rough set processor. The theory of rough sets has a lot of applications such as data mining, decision support system, machine learning and so on. However, no specific processor has been developed. In this paper, the architecture of rough set processor is shown in detail.

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References

  1. Z. Pawlak: “Rough Sets — Theoretical Aspects of Reasoning about Data”, Kluwer Academic Publishers, 1991.

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  2. S. K. Pal and A. Skowron: “Rough Fuzzy Hybridization — A New Trend in Decision Making”, Springer Verlag, 1999.

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  3. J. W. Grzymala -Busse: “Rough Sets ”, Advances in Imaging and Electron Physics, Vol. 94, pp. 151–195, 1995

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  4. A. Kanasugi: “Rough Processor”, Workshop on Rough sets — Foundations and Applications-, 2000.

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  5. A. Kanasugi and A. Yokoyama: “A Basic Design for Rough Set Processor”, Proc. of 15th Japanese Society for Artificial Intelligence Annual Conf., 1E1–02, 2001.

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© 2003 Springer-Verlag Berlin Heidelberg

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Kanasugi, A. (2003). A Design of Architecture for Rough Set Processor. In: Inuiguchi, M., Hirano, S., Tsumoto, S. (eds) Rough Set Theory and Granular Computing. Studies in Fuzziness and Soft Computing, vol 125. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36473-3_26

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  • DOI: https://doi.org/10.1007/978-3-540-36473-3_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05614-7

  • Online ISBN: 978-3-540-36473-3

  • eBook Packages: Springer Book Archive

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