Contents
We introduce in this chapter a new area in fuzzy logic, which is called type-2 fuzzy logic. 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.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Castillo, O., Melin, P. (2007). 3 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_3
Download citation
DOI: https://doi.org/10.1007/978-3-540-76284-3_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76283-6
Online ISBN: 978-3-540-76284-3
eBook Packages: EngineeringEngineering (R0)