Abstract
We describe in this chapter a new area in fuzzy logic, which studies type-2 fuzzy sets and type-2 fuzzy logic systems. Basically, a type-2 fuzzy set is a set in which we also have uncertainty about the membership function. Of course, type-2 fuzzy systems consist of fuzzy if-then rules, which contain type-2 fuzzy sets. We can say that type-2 fuzzy logic is a generalization of conventional fuzzy logic (type-1) in the sense that uncertainty is not only limited to the linguistic variables but also is present in the definition of the membership functions.
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© 2003 Physica-Verlag Heidelberg
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Castillo, O., Melin, P. (2003). Type-2 Fuzzy Logic. In: Soft Computing and Fractal Theory for Intelligent Manufacturing. Studies in Fuzziness and Soft Computing, vol 117. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1766-9_3
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DOI: https://doi.org/10.1007/978-3-7908-1766-9_3
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-662-00296-4
Online ISBN: 978-3-7908-1766-9
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