Type-2 Fuzzy Logic Systems and Applications (Q168944): Difference between revisions
From geokb
(Changed label, description and/or aliases in en, and other parts: removed Machine Learning from aliases; added Q169132 to addresses subject) |
(Changed label, description and/or aliases in en, and other parts: modified description with assistance from Llama 3.1) |
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| description / en | description / en | ||
Blending fuzzy logic and machine learning to create robust models for complex systems. | |||
Revision as of 14:46, 30 August 2024
Blending fuzzy logic and machine learning to create robust models for complex systems.
- Type-2 Fuzzy Sets
- Fuzzy Logic Systems
- Neuro-Fuzzy Methods
- Interval Type-2 Fuzzy Logic
- Genetic Fuzzy Systems
- Fuzzy Rule-Based Systems
- System Identification
- Control Systems
- Pattern Recognition
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Type-2 Fuzzy Logic Systems and Applications |
Blending fuzzy logic and machine learning to create robust models for complex systems. |
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