Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/25193
Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: On Nie-Tan operator and type-reduction of interval type-2 fuzzy sets (Forthcoming/Available Online)
Authors: Li, Jiawei
John, Robert
Coupland, Simon
Kendall, Graham
Contact Email: lij@cs.stir.ac.uk
Keywords: Nie-Tan operator
Interval Type-2 fuzzy sets
type-reduction
defuzzification
Issue Date: 9-Feb-2017
Citation: Li J, John R, Coupland S & Kendall G (2017) On Nie-Tan operator and type-reduction of interval type-2 fuzzy sets (Forthcoming/Available Online), IEEE Transactions on Fuzzy Systems.
Abstract: Type-reduction of type-2 fuzzy sets is considered to be a defuzzification bottleneck because of the computational complexity involved in the process of type-reduction. In this research, we prove that the closed-form Nie-Tan operator, which outputs the average of the upper and lower bounds of the footprint of uncertainty, is actually an accurate method for defuzzifing interval type-2 fuzzy sets.
DOI Link: http://dx.doi.org/10.1109/TFUZZ.2017.2666842
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