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A Design of Architecture for Rough Set Processor

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New Frontiers in Artificial Intelligence (JSAI 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2253))

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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.

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References

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

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

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  3. A. Kanasugi and A. Yokoyama: “A Basic Design for Rough Set Processor”, Proc. of 15th JSAI Annual Conf, 1E1–02, 2001.

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Author information

Authors and Affiliations

  1. Saitama University, 338-8570, Saitama, Japan

    Akinori Kanasugi

Authors
  1. Akinori Kanasugi
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Editor information

Editors and Affiliations

  1. Graduate School of Business Science, The University of Tsukuba, Tokyo

    Takao Terano  & Yukio Ohsawa  & 

  2. School of Engineering, The University of Tokyo, Tokyo

    Toyoaki Nishida

  3. Dept.of Computer Science, National Defense Academy, Japan

    Akira Namatame

  4. School of Medicines, Shimane Medical University, Japan

    Syusaku Tsumoto

  5. The Institute of Scientific and Industrial Research, Osaka University, Osaka

    Takashi Washio

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© 2001 Springer-Verlag Berlin Heidelberg

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Kanasugi, A. (2001). A Design of Architecture for Rough Set Processor. In: Terano, T., Ohsawa, Y., Nishida, T., Namatame, A., Tsumoto, S., Washio, T. (eds) New Frontiers in Artificial Intelligence. JSAI 2001. Lecture Notes in Computer Science(), vol 2253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45548-5_55

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  • DOI: https://doi.org/10.1007/3-540-45548-5_55

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43070-4

  • Online ISBN: 978-3-540-45548-6

  • eBook Packages: Springer Book Archive

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