A similarity-based inference engine for non-singleton fuzzy logic systems

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A similarity-based inference engine for non-singleton fuzzy logic systems

In non-singleton fuzzy logic systems (NSFLSs) input uncertainties are modelled with input fuzzy sets in order to capture input uncertainty such as sensor noise. The performance of NSFLSs in handling such uncertainties depends both on the actual input fuzzy sets (and their inherent model of uncertain...

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Bibliographic Details
Main Authors:	Wagner, Christian, Pourabdollah, Amir, McCulloch, Josie, John, Robert, Garibaldi, Jonathan M.
Format:	Conference or Workshop Item
Published:	2016
Subjects:	non-singleton fuzzy logic systems uncertainty fuzzifier input similarity time series prediction
Online Access:	https://eprints.nottingham.ac.uk/33186/

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