Interval type-2 A-intuitionistic fuzzy logic for regression problems

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Interval type-2 A-intuitionistic fuzzy logic for regression problems

This paper presents an approach to prediction based on a new interval type-2 Atanassov-intuitionistic fuzzy logic system (IT2AIFLS) of Takagi-Sugeno-Kang (TSK) fuzzy inference with neural network learning capability. The gradient descent (GD) algorithm is used to adapt the parameters of the IT2AIFLS...

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Bibliographic Details
Main Authors:	Eyoh, Imo, John, Robert, de Maere, Geert
Format:	Article
Published:	IEEE 2017
Subjects:	Interval type-2 A-intuitionistic fuzzy logic system; Regression problems; Gradient descent algorithm
Online Access:	https://eprints.nottingham.ac.uk/48037/

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