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Glossary
D
defuzzification
The process of converting the linguistic output of the rulebase
evaluation to a crisp controller output value.
degree of membership
A value that represents the degree of partial membership of an
element to a fuzzy set. This value may range from 0 to 1 inclusive.
E
expert
A human operator of a system or process that has acquired
knowledge related to controlling the process through experience.
F
fuzzification
The process of evaluating crisp controller input values (process
parameters) using the defined membership functions to determine
linguistic input variables for the rulebase evaluation.
fuzzy inference
The process by which the rules of the rulebase are evaluated to
determine output linguistic variables for defuzzification.
fuzzy set
A set that allows for partial membership of elements. Fuzzy sets
usually represent linguistic terms and are defined quantitatively
by a membership function.
fuzzy set theory
An extension of traditional Boolean set theory, fuzzy set theory is
based on the idea that fuzzy sets may be defined such that
elements can have partial membership to the set.
L
linguistic term
A word or set of words to describe a quality of a process variable
(for example, hot, very low, small positive, and so on). The term
is defined quantitatively by the corresponding membership
function.
linguistic variable
Defines the state of a process variable by the degree of
membership of the parameter to each linguistic term defined
(for example, vehicle position {left 0.0; left center 0.0; center 0.8;
right center 0.1; right 0.0}).
Fuzzy Logic for G Toolkit Reference Manual
G-2
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