Handling uncertainty: from type-1 to interval type-2 fuzzy sets and systems

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Handling uncertainty: from type-1 to interval type-2 fuzzy sets and systems

Fuzzy logic systems (FLSs) are widely accepted for their ability to model and handle uncertainty. Type-2 fuzzy sets (T2 FSs) were introduced as an extension of type-1 fuzzy sets (T1 FSs). They are characterised by membership functions (MFs) that are themselves fuzzy for which the membership degrees...

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Bibliographic Details
Main Author:	Aladi, Jabran
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2016
Subjects:	fuzzy sets fuzzy systems fuzzy logic computer science type-1 interval type-2
Online Access:	https://eprints.nottingham.ac.uk/31281/

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