What Is Fuzzy Logic?

Fuzzy logic is an approach to variable processing that allows for multiple possible truth values to be processed through the same variable. Fuzzy logic attempts to solve problems with an open, imprecise spectrum of data and heuristics that makes it possible to obtain an array of accurate conclusions.

Fuzzy logic is designed to solve problems by considering all available information and making the best possible decision given the input.


  • Fuzzy logic is a heuristic approach that allows for more advanced decision-tree processing and better integration with rules-based programming.
  • Fuzzy logic is a generalization from standard logic, in which all statements have a truth value of one or zero. In fuzzy logic, statements can have a value of partial truth, such as 0.9 or 0.5.
  • Theoretically, this gives the approach more opportunity to mimic real-life circumstances, where statements of absolute truth or falsehood are rare.
  • Fuzzy logic may be used by quantitative analysts to improve the execution of their algorithms.
  • Because of the similarities with ordinary language, fuzzy algorithms are comparatively simple to code, but they may require thorough verification and testing.