The ANFIS uses a hybrid learning algorithm to identify the membership function
parameters to generate Sugeno type fuzzy inference systems (FIS).
3, which consists of the membership function
, fuzzy rules, weighted consequent and output layers, and their functions are briefly described below in the our context.
3 and by choose an appropriate membership function
[mu] true in definition 1.
To generate the fuzzy numbers and calculate the each thematic layers weight by the membership function
Defining linguistic terms to fuzzy linguistic variables in membership function
A description of a trapezoid membership function
is also presented in literature by a table of values (formula 1):
It enables transportation and commercial payment besides provision of membership function
Furthermore, the semantic element (SE) used in the linguistic term set (LTS) is constructed using the triangular membership function
with fuzzy relation, which is defined in the unit interval [0, 1] by the fuzzy number ([x.
R], related to the membership function
to be optimized (Fig.
In this regard, a membership function
MF or [micro]A(x) defines the way in which the points of X in the input space are mapped to a membership value (or degree of membership) between 0 and 1.
In this research, we took the estimation for the demonstration of the fuzzy membership function
A fuzzy membership function
is defined for each texture component and assigns a fuzzy membership value on a continuous scale in the range [0,1] in a fuzzy set to each original attribute value.