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Publisher
Springer, Berlin, Heidelberg
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Authors: DongYoon Lee KeonJun Park
Publish Date: 2012
Volume: , Issue: , Pages: 336-342
Abstract
In this paper we introduce the design of interval type2 fuzzy relationbased neurofuzzy networks IT2FRNFN for modeling nonlinear process IT2FRNFN is the network of combination between the neurofuzzy network NFN and interval type2 fuzzy set with uncertainty The premise part of the network is composed of the fuzzy relation division of input space and the consequence part of the network is represented by polynomial functions with interval set And we also consider genetic algorithms to determine the structure and estimate the values of the parameters The proposed network is evaluated with the nonlinear process
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