Journal
IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 26, Issue 2, Pages 1036-1039Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2017.2666842
Keywords
Defuzzification; interval type-2 fuzzy sets (T2 FSs); Nie-Tan operator; type-reduction
Funding
- Engineering and Physical Sciences Research Council U.K. [EP/H000968/1, EP/J017515/1]
- EPSRC [EP/H000968/1, EP/J017515/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/H000968/1, EP/J017515/1] Funding Source: researchfish
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
