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Fuzzy Interpolative Reasoning Using Interval Type-2 Fuzzy Sets

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New Frontiers in Applied Artificial Intelligence (IEA/AIE 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5027))

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Abstract

In this paper, we present a new fuzzy interpolative reasoning method using interval type-2 fuzzy sets. We calculate the ranking values through the reference points and the heights of the upper and the lower membership functions of interval type-2 fuzzy sets. By means of calculating the ranking values of the upper and the lower membership functions of interval type-2 fuzzy sets, we can use interval type-2 fuzzy sets to handle fuzzy interpolative reasoning in sparse fuzzy rule-based system in a more flexible manner.

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Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R. O. C.

    Li-Wei Lee & Shyi-Ming Chen

  2. Department of Computer Science and Information Engineering, Jinwen University of Science and Technology, Taipei County, Taiwan, R. O. C.

    Shyi-Ming Chen

Authors
  1. Li-Wei Lee
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  2. Shyi-Ming Chen
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Ngoc Thanh Nguyen Leszek Borzemski Adam Grzech Moonis Ali

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© 2008 Springer-Verlag Berlin Heidelberg

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Lee, LW., Chen, SM. (2008). Fuzzy Interpolative Reasoning Using Interval Type-2 Fuzzy Sets. In: Nguyen, N.T., Borzemski, L., Grzech, A., Ali, M. (eds) New Frontiers in Applied Artificial Intelligence. IEA/AIE 2008. Lecture Notes in Computer Science(), vol 5027. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69052-8_10

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  • DOI: https://doi.org/10.1007/978-3-540-69052-8_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69045-0

  • Online ISBN: 978-3-540-69052-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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