Improved uncertainty capture for non-singleton fuzzy systems

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Improved uncertainty capture for non-singleton fuzzy systems

In non-singleton fuzzy logic systems (NSFLSs), input uncertainties are modelled with input fuzzy sets in order to capture input uncertainty (e.g., sensor noise). The performance of NSFLSs in handling such uncertainties depends on both: the appropriate modelling in the input fuzzy sets of the uncerta...

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Bibliographic Details
Main Authors:	Pourabdollah, Amir, Wagner, Christian, Aladi, Jabran Hussain, Garibaldi, Jonathan M.
Format:	Article
Published:	IEEE 2016
Subjects:	non-singleton fuzzy logic systems uncertainty time series prediction
Online Access:	https://eprints.nottingham.ac.uk/45444/

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