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Computer Applications for Security, Control and System Engineering pp 336–342Cite as

Design of Interval Type-2 Fuzzy Relation-Based Neuro-Fuzzy Networks for Nonlinear Process

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 339))

Abstract

In this paper, we introduce the design of interval type-2 fuzzy relation-based neuro-fuzzy networks (IT2FRNFN) for modeling nonlinear process. IT2FRNFN is the network of combination between the neuro-fuzzy network (NFN) and interval type-2 fuzzy set with uncertainty. The premise part of the network is composed of the fuzzy relation division of input space and the consequence part of the network is represented by polynomial functions with interval set. And we also consider genetic algorithms to determine the structure and estimate the values of the parameters. The proposed network is evaluated with the nonlinear process.

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Author information

Authors and Affiliations

  1. Department of Electrical Electronic Engineering, Joongbu University, 101, Daehak-ro, Chubu-myeon, Geumsan-gun, Chungnam, 312-702, South Korea

    Dong-Yoon Lee

  2. Department of Electrical Information and Communication Engineering, Wonkwang University, 344-2, Shinyong-dong, Iksan-si, Chonbuk, 570-749, South Korea

    Keon-Jun Park

Authors
  1. Dong-Yoon Lee
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  2. Keon-Jun Park
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Editor information

Editors and Affiliations

  1. GVSA and University of Tasmania, 20 Virginia Court, Hobart, TAS, Australia

    Tai-hoon Kim

  2. Jet Propulsion Laboratory/Caltech, NASA, 4800 Oak Grove Drive, 91109, Pasadena, CA, USA

    Adrian Stoica

  3. National Chiao Tung University, Hsinchu, Taiwan, R.O.C.

    Wai-chi Fang

  4. University of Western Macedonia, Kozani, Greece

    Thanos Vasilakos

  5. Universidad Complutense de Madrid, 28040, Madrid, Spain

    Javier García Villalba

  6. Mississippi State University, Mississippi State, MS, USA

    Kirk P. Arnett

  7. King Saud University, Riyadh, Kingdom of Saudi Arabia

    Muhammad Khurram Khan

  8. School of Computing and Information System, University of Tasmania, Churchill Avenue, Sandy Bay, Hobart, TAS, Australia

    Byeong-Ho Kang

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Lee, DY., Park, KJ. (2012). Design of Interval Type-2 Fuzzy Relation-Based Neuro-Fuzzy Networks for Nonlinear Process. In: Kim, Th., et al. Computer Applications for Security, Control and System Engineering. Communications in Computer and Information Science, vol 339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35264-5_45

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  • DOI: https://doi.org/10.1007/978-3-642-35264-5_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35263-8

  • Online ISBN: 978-3-642-35264-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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