Hybrid learning for interval type-2 intuitionistic fuzzy logic systems as applied to identification and prediction problems
This paper presents a novel application of a hybrid learning approach to the optimisation of membership and non-membership functions of a newly developed interval type-2 intuitionistic fuzzy logic system (IT2 IFLS) of a Takagi-Sugeno-Kang (TSK) fuzzy inference system with neural network learning cap...
| Main Authors: | , , , |
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| Format: | Article |
| Published: |
IEEE
2018
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/49496/ |