A new dynamic approach for non-singleton fuzzification in noisy time-series prediction

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A new dynamic approach for non-singleton fuzzification in noisy time-series prediction

Non-singleton fuzzification is used to model uncertain (e.g. noisy) inputs within fuzzy logic systems. In the standard approach, assuming the fuzzification type is known, the observed [noisy] input is usually considered to be the core of the input fuzzy set, usually being the centre of its membershi...

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Bibliographic Details
Main Authors:	Pourabdollah, Amir, John, Robert, Garibaldi, Jonathan M.
Format:	Conference or Workshop Item
Published:	2017
Subjects:	Noise measurement Standards Fuzzy sets Fuzzy logic Uncertainty Time series analysis Estimation
Online Access:	https://eprints.nottingham.ac.uk/45209/

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