Skip to main content
SpringerLink
Log in
Book cover

International Symposium on Intelligent Data Analysis

IDA 1999: Advances in Intelligent Data Analysis pp 15–26Cite as

ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis

  • Conference paper
  • First Online:

  • 716 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1642))

Abstract

In this paper we introduce Accurate Linguistic Modelling, an approach to design linguistic models from data, which are accurate to a high degree and may be suitably interpreted. Linguistic models constitute an Intelligent Data Analysis structure that has the advantage of providing a human-readable description of the system modelled in the form of linguistic rules. Unfortunately, their accuracy is sometimes not as high as desired, thus causing the designer to discard them and replace them by other kinds of more accurate but less interpretable models. ALM has the aim of solving this problem by improving the accuracy of linguistic models while maintaining their descriptive power, taking as a base some modifications on the interpolative reasoning developed by the Fuzzy Rule-Based System composing the model. In this contribution we shall introduce the main aspects of ALM, along with a specific design process based on it. The behaviour of this learning process in the solving of two different applications will be shown.

This research has been supported by CICYT TIC96-0778

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   99.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   129.99
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. Bastian, A.: How to handle the flexibility of linguistic variables with applications. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 2:4 (1994) 463–484.

    Article  MathSciNet  Google Scholar 

  2. Cordón, O., Herrera, F., Peregrín, A.: Applicability of the fuzzy operators in the design of fuzzy logic controllers. Fuzzy Sets and Systems 86 (1997) 15–41.

    Article  MATH  Google Scholar 

  3. Cordón, O., Herrera, F.: A three-stage evolutionary process for learning descriptive and approximative fuzzy logic controller knowledge bases from examples. International Journal of Approximate Reasoning 17:4 (1997) 369–407.

    Article  MATH  Google Scholar 

  4. Cordón, O., Herrera, F.: A Proposal for Improving the Accuracy of Linguistic Modelling. Technical Report DECSAI-98113. Dept. of Computer Science and A.I. University of Granada. Spain (May, 1998).

    Google Scholar 

  5. Goldberg, D. E.: Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley (1989).

    Google Scholar 

  6. Ishibuchi, H., Nozaki, K., Tanaka, H.: Distributed representation of fuzzy rules and its application to pattern Classification. Fuzzy Sets and Systems 52 (1992) 21–32.

    Article  Google Scholar 

  7. Mamdani, E. H., Applications of fuzzy algorithm for control a simple dynamic plant, Proceedings of the IEE, 121:12 (1974) 1585–1588.

    Google Scholar 

  8. Nauck, D., Klawonn, F., Kruse, R.: Fundations of Neuro-Fuzzy Systems. John Willey & Sons (1997).

    Google Scholar 

  9. Nozaki, K., Ishibuchi, H., Tanaka, H.: A simple but powerful heuristic method for generating fuzzy rules from numerical data. Fuzzy Sets and Systems 86 (1997) 251–270.

    Article  Google Scholar 

  10. Pedrycz, W. (Ed.): Fuzzy Modelling: Paradigms and Practice. Kluwer Academic Press (1996).

    Google Scholar 

  11. Sugeno, M., Yasukawa, T.: A fuzzy-logic-based approach to qualitative modelling. IEEE Transactions on Fuzzy Systems 1:1 (1993) 7–31.

    Article  Google Scholar 

  12. Takagi, T., Sugeno, M.: Fuzzy identification of systems and its application to modelling and control. IEEE Transactions on Systems, Man, and Cybernetics 15:1 (1985) 116–132.

    MATH  Google Scholar 

  13. Wang, L. X., Mendel, J. M.: Generating fuzzy rules by learning from examples. IEEE Transactions on Systems, Man, and Cybernetics 22 (1992) 1414–1427.

    Article  MathSciNet  Google Scholar 

  14. Zadeh, L. A.: Fuzzy sets. Information and Control 8 (1965) 338–353.

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Dept. of Computer Science and Artificial Intelligence, E.T.S. de Ingeniería Informática, University of Granada, 18071, Granada, Spain

    Oscar Cordón & Francisco Herrera

Authors
  1. Oscar Cordón
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Francisco Herrera
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Mathematics, Imperial College, Huxley Building 180 Queen’s Gate, London, SW7 2BZ, UK

    David J. Hand

  2. Leiden Institute for Advanced Computer Science, Leiden University, 2300, RA Leiden, The Netherlands

    Joost N. Kok

  3. Berkeley Initiative in Soft Computing, University of California at Berkeley, 329 Soda Hall, Berkeley, CA, 94720, USA

    Michael R. Berthold

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cordón, O., Herrera, F. (1999). ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis. In: Hand, D.J., Kok, J.N., Berthold, M.R. (eds) Advances in Intelligent Data Analysis. IDA 1999. Lecture Notes in Computer Science, vol 1642. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48412-4_2

Download citation

  • DOI: https://doi.org/10.1007/3-540-48412-4_2

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66332-4

  • Online ISBN: 978-3-540-48412-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation