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 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.
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.
Citation : Li, J., John, R., Coupland, S. and Kendall, G. (2017) On Nie-Tan Operator and Type-reduction of Interval Type-2 Fuzzy Sets., IEEE Transactions on Fuzzy Systems. 26 (2), pp. 1036-1039
ISSN : 1941-0034
Research Group : Centre for Computational Intelligence
Research Institute : Institute of Artificial Intelligence (IAI)
Peer Reviewed : Yes