@inbook{fbefd1de887548ecb3c7f396266c28bf,
title = "Background on type-1 and type-2 fuzzy logic",
abstract = "We describe in this chapter a relatively new area in fuzzy logic, which is called type-2 fuzzy logic. 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.",
author = "Oscar Castillo and Aguilar, {Luis T.}",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.",
year = "2019",
doi = "10.1007/978-3-030-03134-3_1",
language = "Ingl{\'e}s",
series = "Studies in Fuzziness and Soft Computing",
publisher = "Springer Verlag",
pages = "5--19",
booktitle = "Studies in Fuzziness and Soft Computing",
address = "Alemania",
}