Book review: Fuzzy logic and Neuro Fuzzy Applications Explained by Constantin von Altrock (Prentice Hall 1995)
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- Book review: Fuzzy logic and Neuro Fuzzy Applications Explained by Constantin von Altrock (Prentice Hall 1995)
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Interval Type-2 Fuzzy Logic for Control Applications
GRC '10: Proceedings of the 2010 IEEE International Conference on Granular ComputingType-2 fuzzy sets are used for modeling uncertainty and imprecision in a better way. These type-2 fuzzy sets were originally presented by Zadeh in 1975 and are essentially “fuzzy fuzzy” sets where the fuzzy degree of membership is a type-1 fuzzy set. ...
Overview of Type-2 Fuzzy Logic Systems
Fuzzy set theory has been proposed as a means for modeling the vagueness in complex systems. Fuzzy systems usually employ type-1 fuzzy sets, representing uncertainty by numbers in the range [0, 1]. Despite commercial success of fuzzy logic, a type-1 ...
Interval type-2 neuro-fuzzy system with implication-based inference mechanism
The system uses interval type-2 fuzzy sets in premises and consequences of rules.The system uses several interval type-2 fuzzy implications.The system applies logical interpretation to fuzzy rules.The paper is accompanied by numerical examples.The ...
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New York, NY, United States
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