|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|
Interval Type-2 fuzzy sets
|Citation:||Li J, John R, Coupland S & Kendall G (2018) On Nie-Tan operator and type-reduction of interval type-2 fuzzy sets, IEEE Transactions on Fuzzy Systems, 26 (2), pp. 1036-1039. https://doi.org/10.1109/TFUZZ.2017.2666842.|
|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.|
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