Skip to main content
Springer Nature Link
Log in

Rough-Neuro Computing

  • Conference paper
  • First Online:
Rough Sets and Current Trends in Computing (RSCTC 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2005))

Included in the following conference series:

  • 5112 Accesses

Abstract

We outline a rough-neuro computing model as a basis for granular computing. Our approach is based on rough sets, rough mereology and information granule calculus.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Lin, T.Y. Granular Computing on Binary Relations I. Data Mining and Neighborhood Systems (1998), In: 6 1 pp. 107–121.

    Google Scholar 

  2. Z. Pawlak (1991), Rough Sets-Theoretical Aspects of Reasoning about Data, Kluwer Academic Publishers, Dordrecht.

    Google Scholar 

  3. L. Han, J. F. Peters, S. Ramanna, and R. Zhai (1999), Classifying faults in high voltage power systems: a rough-fuzzy neural computational approach, Proceedings RSFDGrC'99: 7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining and Granular Soft Computing, Lecture Notes in Artificial Intelligence 1711, Springer Verlag, Berlin, pp. 47–54.

    Google Scholar 

  4. L. Polkowski, A. Skowron (1996), Rough mereology: A new paradigm for approximate reasoning, International Journal of Approximate Reasoning 15/4, pp. 333–365.

    Article  MATH  MathSciNet  Google Scholar 

  5. L. Polkowski, A. Skowron (1998), Rough mereological foundations for design, analysis, synthesis, and control in distributed systems, Information Sciences An International Journal 104/1–2, Elsevier Science, New York, pp. 129–156.

    Google Scholar 

  6. L. Polkowski, A. Skowron (Eds.) (1998), Rough Sets in Knowledge Discovery 1–2 Physica-Verlag, Heidelberg 1998.

    Google Scholar 

  7. L. Polkowski, A. Skowron (1999), Towards adaptive calculus of granules, In: 13 1, pp. 201–227.

    MathSciNet  Google Scholar 

  8. L. Polkowski, A. Skowron (2000). “Rough Mereology in Information Systems. A Case Study: Qualitative Spatial Reasoning”, In: L. Polkowski, T. Y. Lin, S. Tsumoto (Eds.), Rough sets: New developments, Studies in Fuzziness and Soft Computing, Physica-Verlag / Springer-Verlag, Heidelberg, 2000 (in print).

    Google Scholar 

  9. Skowron, A.; Stepaniuk, J. (1999), Towards Discovery of Information Granules, 3rd European Conference of Principles and Practice of Knowledge Discovery in Databases, September 15-18, 1999, Prague, Czech Republic, Lecture Notes in Artificial Intelligence 1704, Springer-Verlag, Berlin, pp. 542–547.

    Google Scholar 

  10. A. Skowron, J. Stepaniuk, S. Tsumoto (1999), Information Granules for Spatial Reasoning, Bulletin of the International Rough Set Society 3/4, pp. 147–154.

    Google Scholar 

  11. L. A. Zadeh (1996), Fuzzy logic = computing with words, IEEE Trans. on Fuzzy Systems 4, pp. 103–111.

    Article  Google Scholar 

  12. L. A. Zadeh (1997), Toward a theory of fuzzy information granulation and its certainty in human reasoning and fuzzy logic, Fuzzy Sets and Systems 90, pp. 111–127.

    Article  MATH  MathSciNet  Google Scholar 

  13. Zadeh, L. A., Kacprzyk, J. (eds.): Computing with Words in Information/Intelligent Systems vol.1–2, Physica-Verlag, Heidelberg, 1999.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Polish-Japanese Institute of Information Technology, Koszykowa 86, 02-008, Warsaw, Poland

    Lech Polkowski & Lech Polkowski

  2. Department of Mathematics and Information Science, Warsaw University of Technology, Pl. Politechniki 1, 00-650, Warsaw, Poland

    Andrzej Skowron

Authors
  1. Lech Polkowski
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Andrzej Skowron
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Regina Regina, S4S 0A2, Saskatchewan, Canada

    Wojciech Ziarko  & Yiyu Yao  & 

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Polkowski, L., Skowron, A. (2001). Rough-Neuro Computing. In: Ziarko, W., Yao, Y. (eds) Rough Sets and Current Trends in Computing. RSCTC 2000. Lecture Notes in Computer Science(), vol 2005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45554-X_6

Download citation

  • DOI: https://doi.org/10.1007/3-540-45554-X_6

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43074-2

  • Online ISBN: 978-3-540-45554-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics