ex_fuzzy.fuzzy_sets.categoricalFS#
- class ex_fuzzy.fuzzy_sets.categoricalFS(name, category)[source]#
Bases:
FS- __init__(name, category)[source]#
Creates a categorical fuzzy set. It gives 1 to the category and 0 to the rest. Use it when the variable is categorical and the categories are known, so that rule inference systems can naturally support both crisp and fuzzy variables.
- Parameters:
name (str) – string.
categories – list of strings. Possible categories.
Methods
__init__(name, category)Creates a categorical fuzzy set.
membership(x)Computes the membership of a point or vector of elements.
shape()Returns the shape of the fuzzy set.
type()Returns the corresponding fuzzy set type according to FUZZY_SETS enum.
- __init__(name, category)[source]#
Creates a categorical fuzzy set. It gives 1 to the category and 0 to the rest. Use it when the variable is categorical and the categories are known, so that rule inference systems can naturally support both crisp and fuzzy variables.
- Parameters:
name (str) – string.
categories – list of strings. Possible categories.
- membership(x)[source]#
Computes the membership of a point or vector of elements.
- Parameters:
x (array) – input values in the referencial domain.