Fuzzy logic is logic handling uncertainty by using as truth values a real number between 0 and 1 to represent less or more certainty about a variable. Fuzzy operators similarly work with degrees of truth.
What is it?
Fuzzy logic is logic handling uncertainty by using as truth values a real number between 0 and 1 to represent less or more certainty about a variable. It is a form of many-valued logic. Fuzzy operators similarly work with degrees of truth.
How does it work?
Fuzzy logic deals with reasoning that is approximate rather than fixed and exact. In contrast with traditional logic theory, 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.
The reasoning in fuzzy logic is similar to human reasoning. It allows for approximate values and inferences as well as incomplete or ambiguous data (fuzzy data) as opposed to only relying on crisp data (binary yes/no choices). Fuzzy logic is able to process incomplete data and provide approximate solutions to problems other methods find difficult to solve.
In traditional logic, an answer is either black or white. Using fuzzy logic, the answer could be white, black or any variation of grey.
Related tags
Useful links
- Fuzzy logic on Wikipedia
