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Uncertainty is an inherent part of intelligent systems used in real-world applications. The use of new methods for handling incomplete information is of fundamental importance. Type-1 fuzzy sets used in conventional fuzzy systems cannot fully handle the uncertainties present in intelligent systems. Type-2 fuzzy sets that are used in type-2 fuzzy systems can handle such uncertainties in a better way because they provide us with more parameters. This chapter deals with the design of intelligent systems using interval type-2 fuzzy logic for minimizing the effects of uncertainty produced by the instrumentation elements, environmental noise, etc. Experimental results include simulations of feedback control systems for non-linear plants using type-1 and type-2 fuzzy logic controllers; a comparative analysis of the systems’ response is performed, with and without the presence of uncertainty.
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© 2007 Springer-Verlag Berlin Heidelberg
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Castillo, O., Melin, P. (2007). 5 Design of Intelligent Systems with Interval Type-2 Fuzzy Logic. In: Type-2 Fuzzy Logic: Theory and Applications. Studies in Fuzziness and Soft Computing, vol 223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76284-3_5
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DOI: https://doi.org/10.1007/978-3-540-76284-3_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76283-6
Online ISBN: 978-3-540-76284-3
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