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On Nie-Tan Operator and Type-Reduction of Interval Type-2 Fuzzy Sets

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Apr 2018 United Kingdom Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Fuzzy Systems, volume 26, pages 1,036-1,039 (issn: 1063-6706, eissn: 1941-0034,

Authors: Li, Jiawei; John, Robert; Coupland, Simon; Kendall, Graham;

doi: 10.1109/tfuzz.2017.2666842

handle: 1893/25193

On Nie-Tan Operator and Type-Reduction of Interval Type-2 Fuzzy Sets

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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.

Country

United Kingdom

Related Organizations

BT Research
Nottingham Trent University
United Kingdom
University of Stirling
De Montfort University
United Kingdom
UNIVERSITY OF STIRLING

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Keywords

330, type-reduction, Nie-Tan operator, Defuzzification, 650, Interval Type-2 fuzzy sets, type-reduction, defuzzification, Nie-Tan operator, Interval Type-2 fuzzy sets, Fuzzy Logic, defuzzification

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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%