**Fuzzy logic** is a form of many-valued logic or probabilistic logic; it deals with reasoning that is approximate rather than fixed and exact. In contrast with traditional logic they can have varying values, where binary sets have two-valued logic, true or false, 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.

Fuzzy logic began with the 1965 proposal of fuzzy set theory by Lotfi A. Zadeh at the University of California, Berkeley. Fuzzy logic has been applied to many fields, from control theory to artificial intelligence.

Read more about Fuzzy Logic: Overview, Degrees of Truth, Example, Logical Analysis, Fuzzy Databases, Comparison To Probability

### Famous quotes containing the words fuzzy and/or logic:

“Even their song is not a sure thing.

It is not a language;

it is a kind of breathing.

They are two asthmatics

whose breath sobs in and out

through a small *fuzzy* pipe.”

—Anne Sexton (1928–1974)

“The *logic* of worldly success rests on a fallacy: the strange error that our perfection depends on the thoughts and opinions and applause of other men! A weird life it is, indeed, to be living always in somebody else’s imagination, as if that were the only place in which one could at last become real!”

—Thomas Merton (1915–1968)