Learning of interval and general type-2 fuzzy logic systems using simulated annealing: theory and practice

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Learning of interval and general type-2 fuzzy logic systems using simulated annealing: theory and practice

This paper reports the use of simulated annealing to design more efficient fuzzy logic systems to model problems with associated uncertainties. Simulated annealing is used within this work as a method for learning the best configurations of interval and gen- eral type-2 fuzzy logic systems to maximi...

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Bibliographic Details
Main Authors:	Almaraashia, M., John, Robert, Hopgood, A., Ahmadi, S.
Format:	Article
Published:	Elsevier 2016
Subjects:	Simulated annealing; Interval type-2 fuzzy logic systems; General type-2 fuzzy logic systems; Learning
Online Access:	https://eprints.nottingham.ac.uk/32599/

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