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Axiomatic Granular Approach to Knowledge Correspondences

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Rough Sets and Knowledge Technology (RSKT 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7414))

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Abstract

An axiomatic approach towards granulation in general rough set theory (RST) was introduced by the present author in [4] and extended in [7] over general rough Y-systems (RYS). In the present brief paper a restricted first order version is formulated and granular correspondences between simpler RYS are considered. These correspondences are also relevant from the perspective of knowledge interpretation of rough sets, where we may find admissible concepts of a knowledge being a sub-object of another. Proofs will appear separately.

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References

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Author information

Authors and Affiliations

  1. Department of Pure Mathematics, University of Calcutta, 9/1B, Jatin Bagchi Road, Kolkata, 700029, India

    A. Mani

Authors
  1. A. Mani
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Editor information

Editors and Affiliations

  1. School of Information Science and Technology, Southwest Jiaotong University, 610031, Chengdu, P.R. China

    Tianrui Li

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

    Hung Son Nguyen

  3. Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, 400065, Chongqing, China

    Guoyin Wang

  4. Department of Electrical Engineering and Computer Science, University of Kansas, 66045 - 7621, Lawrence, KS, USA

    Jerzy Grzymala-Busse

  5. Department of Computing and Software, McMaster University, L8S 4K1, Hamilton, Ontario, Canada

    Ryszard Janicki

  6. Faculty of Computers and Information, Cairo University, Cairo, Egypt

    Aboul Ella Hassanien

  7. Software School, Dalian University of Technology, Dalian, China

    Hong Yu

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© 2012 Springer-Verlag Berlin Heidelberg

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Mani, A. (2012). Axiomatic Granular Approach to Knowledge Correspondences. In: Li, T., et al. Rough Sets and Knowledge Technology. RSKT 2012. Lecture Notes in Computer Science(), vol 7414. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31900-6_59

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  • DOI: https://doi.org/10.1007/978-3-642-31900-6_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31899-3

  • Online ISBN: 978-3-642-31900-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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