Review and Improvement of Several Optimal Intelligent Pitch Controllers and Estimator of WECS via Artificial Intelligent Approaches - Complex System Modelling and Control Through Intelligent Soft Computations - page 518

Fig. 13 Design of genetic
fuzzy system in tuning
a tuning membership function
b tuning fuzzy rules

(a)

Tuning Proc-
ess

Evaluation
module (MF)

MF

Predefined
RB

(b)

Evaluation
module (RB)

Tuning Proc-
ess

Predefined
MF

RB

cation problems by a new genetic
fuzzy system has been presented it can be simply awareness that eh set of if-then
rules involved a cycle, which is constitute of

In this part knowledge base tuning in classi

five stairway follows (Hisao et al.

1999 ).
In proposed method fuzzy if-then rules are coded as a numeral string and are
implied by its corresponding random fuzzy sets. Consequent class and the certainty
grade can be absolutely detailed by the heuristic fitness function.

The following symbols are used for indicating the seven used linguistic values:
(1) very small, (2) small, (3) medium small, (4) medium, (5) medium large, (6)
large, (7) very large. For example, the following fuzzy if-then rule is coded as
“

172 ” : If Xl is very small then Y1 is very large and Y2 is small.

10.2 Membership Function Tuning

The composition of the chromosome is deferent in this domination. Chromosome is
nominated for an express and mystic by numerals.