Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

Parallel Implementation of a Fuzzy Rule Based Classifier

  • Conference paper
High Performance Computing for Computational Science - VECPAR 2004 (VECPAR 2004)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3402))

  • 581 Accesses

Abstract

This works presents an implementation of a fuzzy rule based classifier where each single variable fuzzy rule based classifier (or a set of them) is assigned to a different processor in a parallel architecture. Partial conclusions are synchronized and processed by a master processor. This approach has been applied to a very large database and results are compared with a parallel neural network approach.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Sousa, M.S.R., Mattoso, M., Ebecken, N.F.F.: Mining a large database with a parallel database server. Intelligent Data Analysis 3, 437–451 (1999)

    Article  Google Scholar 

  2. Coppola, M., Vanneschi, M.: High-performance data mining with skeleton-based structured parallel programming. Parallel Computing 28, 783–813 (2002)

    Article  Google Scholar 

  3. Evsukoff, A., Branco, A.C.S., Gentil, S.: A knowledge aquisition method for fuzzy expert systems in diagnosis problems. In: Proc. 6th IEEE International Conference on Fuzzy Systems – FUZZIEEE 1997, Barcelona (1997)

    Google Scholar 

  4. Zadeh, L.: Fuzzy logic = computing with words. IEEE Trans. on Fuzzy Systems 4(2), 103–111 (1996)

    Article  MathSciNet  Google Scholar 

  5. Zimmermann, H.-J.: Fuzzy Set Theory and its Applications. Kluwer, Dordrecht (1996)

    MATH  Google Scholar 

  6. Costa, M.C.A., Ebecken, N.F.F.: Data Mining High Performance Computing Using Neural Networks. In: Proc. of High Peformance Computing 2000, HPC 2000, Maui. Wessex Institute of Technology (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. COPPE/Federal University of Rio de Janeiro, P.O.Box 68506, 21945-970, Rio de Janeiro, RJ, Brazil

    Alexandre G. Evsukoff, Myrian C. A. Costa & Nelson F. F. Ebecken

Authors
  1. Alexandre G. Evsukoff
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Myrian C. A. Costa
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nelson F. F. Ebecken
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. INP (ENSEEIHT); IRIT, University of Toulouse, rue Charles-Camichel, 31071, Toulouse CEDEX 7, France

    Michel Daydé

  2. Computer Science Department, University of Tennessee, 37996-3450, Knoxville, TN, USA

    Jack Dongarra

  3. EUIT Telecomunicación - DIATEL, Universidad Politécnica de Madrid, Ctra. Valencia, Km. 7, 28031, Madrid, Spain

    Vicente Hernández

  4. Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias s/n, 4200-465, Porto, Portugal

    José M. L. M. Palma

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Evsukoff, A.G., Costa, M.C.A., Ebecken, N.F.F. (2005). Parallel Implementation of a Fuzzy Rule Based Classifier. In: Daydé, M., Dongarra, J., Hernández, V., Palma, J.M.L.M. (eds) High Performance Computing for Computational Science - VECPAR 2004. VECPAR 2004. Lecture Notes in Computer Science, vol 3402. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11403937_15

Download citation

  • DOI: https://doi.org/10.1007/11403937_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25424-9

  • Online ISBN: 978-3-540-31854-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation