Answers are grounded in this paper and cite their sources.
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 paper, 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 defuzzifying interval type-2 fuzzy sets.
No takes yet. Share an insight, caveat, or question.
Li et al. (2017) studied this question.
Synapse has enriched 5 related papers. Consider them for comparative context: