Extended Kalman filter-based learning of interval type-2 intuitionistic fuzzy logic system

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Extended Kalman filter-based learning of interval type-2 intuitionistic fuzzy logic system

Fuzzy logic systems have been extensively applied for solving many real world application problems because they are found to be universal approximators and many methods, particularly, gradient descent (GD) methods have been widely adopted for the optimization of fuzzy membership functions. Despite i...

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Bibliographic Details
Main Authors:	Eyoh, Imo, John, Robert, De Maere, Geert
Format:	Conference or Workshop Item
Published:	2017
Online Access:	https://eprints.nottingham.ac.uk/51487/

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