Interval type-2 defuzzification using uncertainty weights

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Interval type-2 defuzzification using uncertainty weights

One of the most popular interval type-2 defuzzification methods is the Karnik-Mendel (KM) algorithm. Nie and Tan (NT) have proposed an approximation of the KM method that converts the interval type-2 membership functions to a single type-1 membership function by averaging the upper and lower members...

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Bibliographic Details
Main Authors:	Runkler, Thomas A., Coupland, Simon, John, Robert, Chen, Chao
Format:	Article
Language:	English
Published:	Springer 2017
Online Access:	https://eprints.nottingham.ac.uk/47316/

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