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ATM Based on SPMF

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

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4251))

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Abstract

We propose an approximate transformation method (ATM) based on the standardized parametric membership functions (SPMF). The ATM provides fuzzy systems with the platform for the relatively fast computations by transforming the non-parametric membership functions (NPMF) into the parametric membership functions (PMF). In this paper, we apply the ATM to linguistic approximation.

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Author information

Authors and Affiliations

  1. Dept.of MIS, Yuhan College, Koean-Dong, Sosa-Ku, Puchon, Kyoungki-Do, 422-749, Korea

    Dae-Young Choi

Authors
  1. Dae-Young Choi
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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

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© 2006 Springer-Verlag Berlin Heidelberg

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Choi, DY. (2006). ATM Based on SPMF. 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 4251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11892960_60

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  • DOI: https://doi.org/10.1007/11892960_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46535-5

  • Online ISBN: 978-3-540-46536-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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