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Annual Conference of the Japanese Society for Artificial Intelligence

JSAI 2001: New Frontiers in Artificial Intelligence pp 239Cite as

Workshop on Rough Set Theory and Granular Computing — Summary

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

Abstract

Rough sets was proposed by Z. Pawlak in 1980 as the way how real-world concepts can be approximated by human measurements. For example, in a database, real-world concepts were approximated by the combination of attributes, as lower and upper approximation. The formal studies on this approximation can be viewed as the computation of information granularity, which are closely related with data mining, machine learning, multi-valued logic and fuzzy sets.

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Author information

Authors and Affiliations

  1. Shimane Medical University, 693-8501, Izumo, Japan

    Shusaku Tsumoto & Shoji Hirano

  2. Graduate School of Engineering, Osaka University, 565-0871, Suita, Osaka, Japan

    Masahiro Inuiguchi

Authors
  1. Shusaku Tsumoto
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  2. Shoji Hirano
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  3. Masahiro Inuiguchi
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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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Tsumoto, S., Hirano, S., Inuiguchi, M. (2001). Workshop on Rough Set Theory and Granular Computing — Summary. 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_26

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  • DOI: https://doi.org/10.1007/3-540-45548-5_26

  • Published:

  • 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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