fuzzy logic
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AI overview
Fuzzy logic is a system for reasoning about concepts that aren't completely clear-cut or precise, like whether something is "warm" or "cold" rather than requiring an exact temperature. It matters because it allows computers and machines to handle the kinds of imprecise judgments that humans make naturally every day.
AI-generated from the Wikipedia summary — may contain errors.
Article
Fuzzy logic is a form of many-valued logic in which the truth value 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. By contrast, in Boolean logic, the truth values of variables may only be the integer values 0 or 1.
The term fuzzy logic was introduced with the 1965 proposal of fuzzy set theory by mathematician Lotfi Zadeh. Basic fuzzy logic had, however, been studied since the 1920s, as infinite-valued logic—notably by Łukasiewicz and Tarski. The works of Zadeh and Joseph Goguen in the 1960s and 1970s went further by considering issues such as linguistic variables and lattices.