Abstract
This chapter introduces a new uncertainty modeling architecture for the new improved fuzzy functions systems. The theory is based on a new interval type-2 fuzzy system. The uncertainties are captured by automatic identification of the structure of fuzzy functions, and upper and lower boundaries of key parameters that define fuzzy sets. A new type reduction method is introduced.
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© 2009 Springer-Verlag Berlin Heidelberg
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Celikyilmaz, A., Türksen, I.B. (2009). Modeling Uncertainty with Improved Fuzzy Functions. In: Modeling Uncertainty with Fuzzy Logic. Studies in Fuzziness and Soft Computing, vol 240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89924-2_5
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DOI: https://doi.org/10.1007/978-3-540-89924-2_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89923-5
Online ISBN: 978-3-540-89924-2
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