Skip to main content
SpringerLink
Log in
SpringerLink
Log in

On Optimal Fuzzy Information Granulation

  • Chapter
Data Mining, Rough Sets and Granular Computing

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 95))

Abstract

Information granulation is one of the basic concept of human cognition. L.A. Zadeh defined the subject of the theory of fuzzy information granulation by the following way “The theory of fuzzy information granulation (TFIG) is inspired by the ways in which humans granulate information and reason with it. However, the foundations of TFIG and its methodology are mathematical in nature” [7].

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Pospelov D.A. (Ed.)(1986) Fuzzy sets in models of control and artificial intelligence. Nauka, Moscow (Russian)

    Google Scholar 

  2. Ryjov A. (1987) The degree of uncertainty of fuzzy descriptions. In: Krushinsky L.V., Yablonsky S.V., Lupanov O.B. (Eds.) Ryjov A, 50 - 77 ( Russian )

    Google Scholar 

  3. Ryjov A. (1988) The degree of fuzziness of a linguistic scale and its general properties. In: Averkin A.N.(Ed.) Fuzzy decision-making systems Kalinin University Publishing House, Kalinin, 82-92 (Russian)

    Google Scholar 

  4. A. Ryjov, A. Belenki, R. Hooper, V. Pouchkarev, A. Fattah and L.A. Zadeh. (1998) Development of an Intelligent System for Monitoring and Evaluation of Peaceful Nuclear Activities (DISNA), IAEA, STR-310, Vienna

    Google Scholar 

  5. Zadeh L.A. (1975) The concept of a linguistic variable and its application to approximate reasoning. Part 1,2,3. Inform Sci 7:199-249; 8:301-357; 9: 43 - 80

    Article  MathSciNet  MATH  Google Scholar 

  6. Zadeh L.A. (1996) Fuzzy logic computing with words. IEEE Trans on Fuzzy Systems 4: 103 - 111

    Article  Google Scholar 

  7. Zadeh L.A. (1997) Towards a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic. Fuzzy sets and systems 90: 111 - 127

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Lomonosov’ Moscow State University, 119899, Moscow, Russia

    A. Ryjov

Authors
  1. A. Ryjov
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, San Jose State University The Metropolitan University of Silicon Valley, One Washington Square, 95192-0103, San Jose, CA, USA

    Tsau Young Lin

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

    Yiyu Y. Yao

  3. Computer Science Division and Electronics Research Laboratory Department of Electrical and Electronics, University of California Berkeley Initiative in Soft Computing (BISC), 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Ryjov, A. (2002). On Optimal Fuzzy Information Granulation. In: Lin, T.Y., Yao, Y.Y., Zadeh, L.A. (eds) Data Mining, Rough Sets and Granular Computing. Studies in Fuzziness and Soft Computing, vol 95. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1791-1_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-7908-1791-1_18

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-2508-4

  • Online ISBN: 978-3-7908-1791-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation