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Fuzzy If-Then Rules in Computational Intelligence pp 189–221Cite as

Different Proposals to Improve the Accuracy of Fuzzy Linguistic Modeling

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Part of the book series: The Springer International Series in Engineering and Computer Science ((SECS,volume 553))

Abstract

Nowadays, Linguistic Modeling is considered as one of the most important applications of Fuzzy Set Theory, along with Fuzzy Control. Linguistic models have the advantage of providing a human-readable description of the system modeled in the form of a set of linguistic rules. In this contribution, we will analyze several approaches to improve the accuracy of linguistic models while maintaining their descriptive power. All these approaches will share the common idea of improving the way in which the Fuzzy Rule-Based System performs interpolative reasoning by improving the cooperation between the rules in the linguistic model Knowledge Base.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science and A. I., University of Granada, Granada, Spain

    Oscar Cordón & Francisco Herrera

  2. Dept. of Computer Science, University of Jaen, Jaen, Spain

    María José del Jesus

  3. Dept. of Computer Languages and Systems, University of Vigo, Ourense, Spain

    Pedro Villar

  4. Dept. of Computer Science, University of Buenos Aires, Buenos Aires, Argentina

    Igor Zwir

Authors
  1. Oscar Cordón
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  2. Francisco Herrera
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  3. María José del Jesus
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  4. Pedro Villar
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  5. Igor Zwir
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Editor information

Editors and Affiliations

  1. Belgian Nuclear Research Centre, SCK•CEN, Belgium

    Da Ruan

  2. University of Ghent, Belgium

    Etienne E. Kerre

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© 2000 Springer Science+Business Media New York

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Cordón, O., Herrera, F., del Jesus, M.J., Villar, P., Zwir, I. (2000). Different Proposals to Improve the Accuracy of Fuzzy Linguistic Modeling. In: Ruan, D., Kerre, E.E. (eds) Fuzzy If-Then Rules in Computational Intelligence. The Springer International Series in Engineering and Computer Science, vol 553. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4513-2_9

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  • DOI: https://doi.org/10.1007/978-1-4615-4513-2_9

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7035-2

  • Online ISBN: 978-1-4615-4513-2

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