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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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
| Published: |
2016
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| Online Access: | https://eprints.nottingham.ac.uk/31281/ |