Skip to main content
SpringerLink
Log in
Book cover

Computational Intelligence, Theory and Applications pp 413–418Cite as

Fuzzy Types: A First Step Towards Lazy Types in the .NET Framework

  • Conference paper

  • 754 Accesses

Part of the book series: Advances in Soft Computing ((AINSC,volume 33))

Abstract

Many applications deal with data which are not easy to accommodate in conventional data models. This paper shows how the advanced features of modern programming platforms allow the transparent implementation of lazy typing capabilities which can then be easily used by programmers. As a first approximation to the problem, we show how this capabilities can be used to develop applications with fuzzy types.

This is a preview of subscription content, 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   259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   329.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Serge Abiteboul. Querying semi-structured data. In ICDT, volume 6, pages 1–18, 1997.

    MathSciNet  Google Scholar 

  2. F. Berzal, J.C. Cubero, N. Marín, and O. Pons. Enabling fuzzy object comparison in modern programming platforms through reflection. In Lecture Notes in Artificial Intelligence, pages 660–667, 2003.

    Google Scholar 

  3. F. Berzal, N. Marín, O. Pons, and M. A. Vila. Using classical object-oriented features to build a foodbs. In Jonathan Lee, editor, Software Engineering with Computational Intelligence. Springer Verlag, 2003.

    Google Scholar 

  4. Peter Buneman. Semistructured data. In PODS’97, 1997. Invited Tutorial.

    Google Scholar 

  5. Rita De Caluwe. Fuzzy and Uncertain Object-Oriented Databases: Concepts and Models, volume 13 of Advances in Fuzzy Systems-Applications and Theory. World Scientific, 1997.

    Google Scholar 

  6. J. Lee, J-Y. Kuo, and N-L. Xue. A note on current approaches to extent fuzzy logic to object oriented modeling. International Journal of Intelligent Systems, 16:807–820, 2001.

    Article  MATH  Google Scholar 

  7. N. Marín, M. A. Vila, and O. Pons. Fuzzy types: A new concept of type for managing vague structures. International Journal of Intelligent Systems, 15:1061–1085, 2000.

    Article  MATH  Google Scholar 

  8. N. Marín, M. A. Vila, and O. Pons. A strategy for adding fuzzy types to an object-oriented database system. International Journal of Intelligent Systems, 16:863–880, 2001.

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. IDBIS - Intelligent DataBases and Information Systems Research Group, Department of Computer Science and Artificial Intelligence, University of Granada, Granada, 18071, Spain

    Fernando Berzal, Juan Carlos Cubero, Nicolás Marín & M. Amparo Vila

Authors
  1. Fernando Berzal
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Juan Carlos Cubero
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nicolás Marín
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. M. Amparo Vila
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science 1, University of Dortmund, FB 8 Ektrotechnik FB Informatik LS Informatik I, Postfach 50 05 00, 44221, Dortmund, Germany

    Bernd Reusch

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Berzal, F., Cubero, J.C., Marín, N., Vila, M.A. (2005). Fuzzy Types: A First Step Towards Lazy Types in the .NET Framework. In: Reusch, B. (eds) Computational Intelligence, Theory and Applications. Advances in Soft Computing, vol 33. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31182-3_38

Download citation

  • DOI: https://doi.org/10.1007/3-540-31182-3_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22807-3

  • Online ISBN: 978-3-540-31182-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation