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A multi-objective genetic type-2 fuzzy extreme learning system for the identification of nonlinear dynamic systems

The major challenge in the design of Interval type-2 fuzzy logic system (IT2FLS) is to determine the optimal parameters for their antecedent and consequent parts. The most frequently used objective function for the design of IT2FLSs is root mean squared error (RMSE). However, other than RMSE, the ma...

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Main Authors:	Hassan, S., Khanesar, M.A., Jaafar, J., Khosravi, A.
格式:	Article
出版:	Institute of Electrical and Electronics Engineers Inc. 2017
在線閱讀:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015810351&doi=10.1109%2fSMC.2016.7844235&partnerID=40&md5=e21b238d7e6a8a96f871e0fcb4b97e8b http://eprints.utp.edu.my/20157/
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