Fuzzy logic
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Fuzzy logic is a form of many-valued logic or probabilistic logic; it deals with reasoning that is approximate rather than fixed and exact. Compared to traditional binary sets (where variables may take on true or false values) fuzzy logic variables may have a truth value that ranges in degree between 0 and 1. Fuzzy logic has been extended to handle the concept of partial truth, where the truth value may range between completely true and completely false. Furthermore, when linguistic variables are used, these degrees may be managed by specific functions.
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See also
- Adaptive neuro fuzzy inference system (ANFIS)
- Artificial neural network
- Defuzzification
- Expert system
- False dilemma
- Fuzzy architectural spatial analysis
- Fuzzy classification
- Fuzzy complex
- Fuzzy concept
- Fuzzy Control Language
- Fuzzy control system
- Fuzzy electronics
- Fuzzy subalgebra
- FuzzyCLIPS
- High Performance Fuzzy Computing
- Interval finite element
- Machine learning
- Neuro-fuzzy
- Noise-based logic
- Rough set
- Sorites paradox
- Type-2 fuzzy sets and systems
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