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On Defuzzification of Interval Type-2 Fuzzy Sets

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Artificial Intelligence and Soft Computing – ICAISC 2008 (ICAISC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5097))

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Abstract

In the paper the defuzzification of interval type-2 fuzzy sets is studied. The standard K-M type-reduction method and the uncertainty bounds approximate type-reduction are compared with the classical defuzzification of averaged type-1 fuzzy sets.

This work was partly supported by the Foundation for Polish Science (Professorial Grant 2005–2008) and Polish Ministry of Science and Higher Education (Habilitation Project N N516 372234 2008–2011, Special Research Project 2006–2009, Polish-Singapore Research Project 2008–2010, Research Project 2008–2010).

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References

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  4. Starczewski, J.: What differs type-2 FLS from type-1 FLS? In: Rutkowski, L., Siekmann, J., Tadeusiewicz, R., Zadeh, L.A. (eds.) Int’l Conf. on Artificial Intelligence and Soft Computing. LNCS, pp. 381–387. Springer, Heidelberg (2004)

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Czestochowa University of Technology, Al. Armii Krajowej 36, 42-200, Czestochowa, Poland

    Janusz T. Starczewski

Authors
  1. Janusz T. Starczewski
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Leszek Rutkowski Ryszard Tadeusiewicz Lotfi A. Zadeh Jacek M. Zurada

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Starczewski, J.T. (2008). On Defuzzification of Interval Type-2 Fuzzy Sets. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2008. ICAISC 2008. Lecture Notes in Computer Science(), vol 5097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69731-2_33

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  • DOI: https://doi.org/10.1007/978-3-540-69731-2_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69572-1

  • Online ISBN: 978-3-540-69731-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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