Fuzzy Logic Tutorial Part II:
These are the important terms in fuzzy logic because it
involves its main features. A linguistic variable allows us to describe
its value qualitatively and quantitatively:
With a linguistic term.
Serving as the name of a fuzzy set, regarding the
example we saw above it was TALL
With a number
Very useful to process numeric input data
Regarding Fuzzy Logic it was the
membership function (which expresses the meaning of the fuzzy set, its
Fuzzy logic combines these two aspects of variables
into a uniform framework. This is very useful because the qualitatively
description is very understandable for us, and the quantitatively
description is very useful to compute data and get output values.
A fuzzy set has this dual representation, a linguistic
term and a numeric value through its membership function, which maps
elements in a universe of discourse (i.e. all the different heights) to
their membership degree in the set. Above mentioned all are summarized
into following figure 3.
Figure 3: Fuzzy Set and Membership Function
Section 3 is about fuzzy sets in detail.