Hybrid learning for interval type-2 intuitionistic fuzzy logic systems as applied to identification and prediction problems

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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...

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Bibliographic Details
Main Authors:	Eyoh, Imo, John, Robert, de Maere, Geert, Kayacan, Erdal
Format:	Article
Published:	IEEE 2018
Subjects:	Interval type-2 intuitionistic fuzzy logic system; Decoupled extended Kalman filter; Gradient descent algorithm
Online Access:	https://eprints.nottingham.ac.uk/49496/

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