Mindmap
Fuzzy Logic

Inhalt der Mindmap
Fuzzy Logic
an approach to uncertainty arising from complexity
proposed by Zadeh in 1965
uncertainty due to incomplete and imprecise knowledge
it controls wide range of applications
Classical Logic
- quantities are certain
- all propositions are either true or false (Boolean Logic)
- semi decidable
- characteristic function
Applications:
- Control Systems
- Games
- Networking
- Artificial Intelligence
- Robots
Fuzzy Logic Algorithm
- appoint linguistic variables and terms (initialization)
- create membership functions (initialization)
- create rule base (initialization)
- convert crisp input data to fuzzy values based on the membership functions (Fuzzification)
- evaluate the rules in the rule base (inference)
- combine the results of rules (aggregation)
- convert output data to non-fuzzy value (Defuzzification)
Fuzzy Compatibility Function
- generalization of classical characteristic function to compatibility function
- denotes how well an object has an attribute
Defuzzification
Bilder und Dateien der Mindmap
Informationen
- Beschreibung
- Mindmap am Fuzzy Logic, erstellt von Pots Stha am 09/01/2018.
- Erstellt von
- Pots Stha
- Aufrufe
- 3
- Bewertung