Fuzzy logic says that there are various degrees of "belonging"
to a class, according to the measurement value.
Fuzzy logic uses some functions, called membership functions, that take as
input the measurement and produce as output a number that expresses
by how much something belongs to a class:
membership function of class A (measurement of field
F) = how much field F belongs to class A
Commonly used membership functions look like this: |