Fuzzy logic extends classical Boolean logic by allowing values between 0 and 1, which indicate the degree of membership in a set.

It works with so-called fuzzy sets, where elements are not just "in" or "out," but have a degree of membership.

This makes fuzzy logic particularly suitable for systems with imprecise, vague, or ambiguous inputs.

Typical applications are rule-based systems, for example in the control of washing machines, air conditioners, or in automotive technology.

Fuzzy logic makes it possible to model human decision-making processes in the form of rules and fuzzy statements.