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: | , , , |
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| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2017
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| Online Access: | 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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