Design of Interval Type-2 Fuzzy Logic Controllers

  • Oscar Castillo
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 272)


Uncertainty is an inherent part of intelligent systems used in real-world applications [42]. The use of new methods for handling incomplete information is of fundamental importance [13]. 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 [42]. 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 [68, 69].


Membership Function Fuzzy Logic Controller Fuzzy Logic System Primary Membership Summing Junction 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Computer ScienceTijuana Institute of TechnologyChula VistaUSA

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