On Nie-Tan Operator and Type-reduction of Interval Type-2 Fuzzy Sets
Date
2017-02-09
Advisors
Journal Title
Journal ISSN
ISSN
1941-0034
Volume Title
Publisher
IEEE
Type
Article
Peer reviewed
Yes
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.
Description
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.
Keywords
Fuzzy Logic, Defuzzification
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