期刊
IEEE TRANSACTIONS ON FUZZY SYSTEMS
卷 26, 期 2, 页码 1036-1039出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2017.2666842
关键词
Defuzzification; interval type-2 fuzzy sets (T2 FSs); Nie-Tan operator; type-reduction
资金
- 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
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.
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