# FAQ About Fuzzy Logic

**Fuzzy Logic**

*one year ago | gizem*

## How does Fuzzy Logic differ from traditional binary logic?

Fuzzy Logic differs from traditional binary logic in several ways:

**Truth values:** In binary logic, truth values are binary, meaning that a statement is either true or false. In Fuzzy Logic, truth values are expressed as a degree of membership in a fuzzy set, which ranges from 0 to 1.

**Precision:** Binary logic requires precise definitions of concepts and clear-cut boundaries between them. Fuzzy Logic allows for imprecise definitions and fuzzy boundaries between concepts.

**Rules:** In binary logic, rules are based on strict Boolean logic, and if-then statements are either true or false. In Fuzzy Logic, rules are based on fuzzy logic, and if-then statements can be partially true, partially false, or somewhere in between.

**Computation:** Binary logic uses Boolean algebra for computation, which is based on simple algebraic operations such as *AND, OR, *and *NOT*. Fuzzy Logic uses fuzzy set theory and fuzzy logic operations such as fuzzy *AND*, fuzzy *OR*, and fuzzy *NOT*.

Fuzzy Logic provides a more flexible and expressive framework for dealing with uncertainty and imprecision, while binary logic provides a more precise and deterministic framework for dealing with well-defined concepts.