jäsenyysfunktion
A membership function is a curve that defines how fuzzy a particular element is to a set. In fuzzy logic, a set is not defined by a strict binary membership, where an element either belongs to the set or it doesn't. Instead, membership functions allow for degrees of membership, ranging from 0 (no membership) to 1 (full membership). These functions are fundamental to representing vague or imprecise concepts in a computational manner.
The shape of a membership function can vary, but common types include triangular, trapezoidal, Gaussian, and
Membership functions are crucial in fuzzy systems, such as fuzzy inference systems, used in control applications,