Difference between revisions of "Fuzzy logic"

Latest revision as of 13:21, 25 August 2016

Fuzzy logic is a form of many-valued logic in which the truth values of variables may be any real number between 0 and 1, considered to be "fuzzy".

By contrast, in Boolean logic, the truth values of variables may only be 0 or 1, often called "crisp" values.

Description

Fuzzy logic has been employed 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 (membership) functions.

The term "fuzzy logic" was introduced with the 1965 proposal of fuzzy set theory by Lotfi Zadeh.

Fuzzy logic had however been studied since the 1920s, as infinite-valued logic—notably by Łukasiewicz and Tarski.

Fuzzy logic has been applied to many fields, from control theory to artificial intelligence.

See also

• Adaptive neuro fuzzy inference system (ANFIS)
• Artificial neural network
• Defuzzification
• Expert system
• False dilemma
• Fuzzy architectural spatial analysis
• Fuzzy classification
• Fuzzy concept
• Fuzzy Control Language
• Fuzzy control system
• Fuzzy electronics
• Fuzzy subalgebra
• FuzzyCLIPS
• High Performance Fuzzy Computing
• IEEE Transactions on Fuzzy Systems
• Interval finite element
• Lotfi Zadeh
• Machine learning
• Neuro-fuzzy
• Noise-based logic
• Rough set
• Sorites paradox
• Type-2 fuzzy sets and systems
• Vector logic

External links

• Fuzzy logic @ Wikipedia