Abstract
applications. The use of new methods for handling incomplete information is of fundamental importance in engineering applications. This paper deals with the design of controllers using type-2 fuzzy logic for minimizing the effects of uncertainty produced by the instrumentation elements. We simulated type-1 and type-2 fuzzy logic controllers to perform a comparative analysis of the systems’ response, in the presence of uncertainty. Uncertainty is an inherent part in controllers used for real-world
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Sepulveda, R., Melin, P. (2007). A Comparative Study of Controllers Using Type-2 and Type-1 Fuzzy Logic. In: Castillo, O., Melin, P., Kacprzyk, J., Pedrycz, W. (eds) Hybrid Intelligent Systems. Studies in Fuzziness and Soft Computing, vol 208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37421-3_9
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DOI: https://doi.org/10.1007/978-3-540-37421-3_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37419-0
Online ISBN: 978-3-540-37421-3
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