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Type-2 defuzzification: Two contrasting approaches.
Interval Type–2 Defuzzification Using Uncertainty Weights
One of the most popular interval type–2 defuzzification methods is the Karnik–Mendel (KM) algorithm. Nie and Tan (NT) have proposed an approximation of the KM method that converts the interval type–2 membership functions ...
Type-2 fuzzy logic and the modelling of uncertainty
On Nie-Tan Operator and Type-reduction of Interval Type-2 Fuzzy Sets
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 ...