Skip to main content
SpringerLink
Log in

New Classifier Based on Fuzzy Level Set Subgrouping

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4253))

  • 1158 Accesses

Abstract

We present new classification system which is based on fuzzy level sets subgrouping. This new classification system allow us fast classification method with quite accurate results.

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 149.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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. Šešelja, B., Tepavčevič, A.: Fuzzy groups and collection of subgroups. Fuzzy Sets and Systems 83, 85–91 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  2. Šešelja, B., Tepavčevič, A.: On a construction of codes by p-fuzzy sets. Ser. Mat. 20(2), 71–80 (1990)

    MATH  MathSciNet  Google Scholar 

  3. Pao, Y.H.: The Pattern Recognition and Neural Networks. Addison-Wesley Publishing Company, Inc., Reading (1989)

    Google Scholar 

  4. UCI Repository of Machine Learning Databases network document (referenced 4.11.2004), Available: ftp://ftp.ics.uci.edu/pub/machine-learning-databases

  5. Duda, R., Hart, P.: Pattern Classification and Scene Analysis. John Wiley & Sons, Chichester (1973)

    MATH  Google Scholar 

  6. Coomans, D., Broeckaert, M., Jonckheer, M., Massart, D.L.: Comparison of Multivariate Discriminant Techniques for Clinical Data - Application to the Thyroid Functional State. Meth. Inform. Med. 22, 93–101 (1983)

    Google Scholar 

  7. Simpson, P.K.: Fuzzy min-max neural networks - Part 1: Classification. IEEE Transactions on Neural Networks 3(5), 776–786 (1992)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Lappeenranta University of Technology, P.O. Box 20, Lappeenranta, 53851, Finland

    Paavo Kukkurainen & Pasi Luukka

Authors
  1. Paavo Kukkurainen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Pasi Luukka
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK

    Bogdan Gabrys

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, SA, Australia

    Lakhmi C. Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kukkurainen, P., Luukka, P. (2006). New Classifier Based on Fuzzy Level Set Subgrouping. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893011_49

Download citation

  • DOI: https://doi.org/10.1007/11893011_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46542-3

  • Online ISBN: 978-3-540-46544-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation