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A Descriptive Language Based on Granular Computing – Granular Logic

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Book cover Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6743))

Abstract

In this article, a granular logic defined in granular space is studied. Value of any individual variable in the logic is token as a granule or granulation, so the logic is viewed as second logic. The logic will be applied to describe the theorems in granular mathematics and its proof and to describe clinic experience and its reasoning of medicinal experts.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Nanchang University, Nanchang, Jiangxi, 330031, China

    Qing Liu & Lan Liu

Authors
  1. Qing Liu
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  2. Lan Liu
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Editor information

Editors and Affiliations

  1. State University Higher School of Economics, Pokrovskiy Bd. 11, 109028, Moscow, Russia

    Sergei O. Kuznetsov

  2. Institute of Mathematics, University of Warsaw, ul. Banacha 2, 02-097, Warsaw, Poland

    Dominik Ślęzak

  3. Department of Computer Science, University of Regina, 3737 Wascana Parkway, S4S 0A2, Regina, SK, Canada

    Daryl H. Hepting

  4. Birbeck University of London, Malet Street, WC1E 7HX, London, UK

    Boris G. Mirkin

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© 2011 Springer-Verlag Berlin Heidelberg

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Liu, Q., Liu, L. (2011). A Descriptive Language Based on Granular Computing – Granular Logic. In: Kuznetsov, S.O., Ślęzak, D., Hepting, D.H., Mirkin, B.G. (eds) Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. RSFDGrC 2011. Lecture Notes in Computer Science(), vol 6743. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21881-1_16

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  • DOI: https://doi.org/10.1007/978-3-642-21881-1_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21880-4

  • Online ISBN: 978-3-642-21881-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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