Capa do livro de Type-2 Fuzzy Sets and Systems
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Type-2 Fuzzy Sets and Systems

Betascript Publishing (2013-07-08 )

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Type-2 fuzzy sets and systems generalize (type-1) fuzzy sets and systems so that more uncertainty can be handled. From the very beginning of fuzzy sets, criticism was made about the fact that the membership function of a type-1 fuzzy set has no uncertainty associated with it, something that seems to contradict the word fuzzy, since that word has the connotation of lots of uncertainty. So, what does one do when there is uncertainty about the value of the membership function? The answer to this question was provided in 1975 by the inventor of fuzzy sets, Prof. Lotfi A. Zadeh, when he proposed more sophisticated kinds of fuzzy sets, the first of which he called a type-2 fuzzy set. A type-2 fuzzy set lets us incorporate uncertainty about the membership function into fuzzy set theory, and is a way to address the above criticism of type-1 fuzzy sets head-on. And, if there is no uncertainty, then a type-2 fuzzy set reduces to a type-1 fuzzy set, which is analogous to probability reducing to determinism when unpredictability vanishes.
Betascript Publishing
Editado por:
Lambert M. Surhone, Mariam T. Tennoe, Susan F. Henssonow
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34.00 €
Palavras chave:
Fuzzy Control System, Fuzzy Set Operations, Computational Intelligence, Granular Computing, Soft Computing, Expert system, Lotfi Asker Zadeh, Operator, Mathematics

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