Fuzzy Logic
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A Fuzzy Logic is a Many-Valued Logic in which a variable truth value can be any real number between 0 and 1.
- See: Artificial Intelligence, Many-Valued Logic, Truth Value, Boolean Algebra, Fuzzy Set Theory, Fuzzy System, Łukasiewicz Logic, Control Theory, Probabilistic Rule, Certainty Factor.
References
2017
- (Wikipedia, 2017) ⇒ https://en.wikipedia.org/wiki/Fuzzy_logic Retrieved:2017-7-16.
- 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. It is employed to handle the concept of partial truth, where the truth value may range between completely true and completely false. [1] By contrast, in Boolean logic, the truth values of variables may only be the integer values 0 or 1. Furthermore, when linguistic variables are used, these degrees may be managed by specific (membership) functions. [2] 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.
- 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. It is employed to handle the concept of partial truth, where the truth value may range between completely true and completely false. [1] By contrast, in Boolean logic, the truth values of variables may only be the integer values 0 or 1. Furthermore, when linguistic variables are used, these degrees may be managed by specific (membership) functions. [2] 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.
- ↑ Novák, V., Perfilieva, I. and Močkoř, J. (1999) Mathematical principles of fuzzy logic Dodrecht: Kluwer Academic.
- ↑ Ahlawat, Nishant, Ashu Gautam, and Nidhi Sharma (International Research Publications House 2014) "Use of Logic Gates to Make Edge Avoider Robot." International Journal of Information & Computation Technology (Volume 4, Issue 6; page 630) (Retrieved 27 April 2014)