Please use this identifier to cite or link to this item: https://doi.org/10.1109/FUZZY.2009.5277354
Title: Extension of fuzzy adaptive laws to IT2 fuzzy systems
Authors: Nie, M.
Tan, W.W. 
Issue Date: 2009
Citation: Nie, M., Tan, W.W. (2009). Extension of fuzzy adaptive laws to IT2 fuzzy systems. IEEE International Conference on Fuzzy Systems : 712-717. ScholarBank@NUS Repository. https://doi.org/10.1109/FUZZY.2009.5277354
Abstract: As an extension of T1 FLS, IT2 FLS was proposed to handle a higher level of uncertainties by providing an additional dimension to FSs. This paper investigates IT2 FLSs' advantages over type-1 FLSs in adaptive fuzzy systems. It is shown that the uncertainties existing in consequent sets could not be fully utilized when type-reduction is performed using the uncertainty bounds method, which may limit the potential advantages of adaptive IT2 fuzzy systems. To address this limitation, a type-reduction method based on two of the four boundary embedded type-1 FLSs in the uncertainty bounds method is proposed. Moreover, we also establish the condition when adaptive fuzzy systems using T1 FLSs and IT2 FLSs have the same performance. Lastly, IT2 FLSs using the proposed type-reduction method are demonstrated to have greater approximation ability than type-1 FLSs through numerical experiments. ©2009 IEEE.
Source Title: IEEE International Conference on Fuzzy Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/83717
ISBN: 9781424435975
ISSN: 10987584
DOI: 10.1109/FUZZY.2009.5277354
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