WeightedDefuzzifier

WeightedDefuzzifier

Bases: Defuzzifier

Abstract class for defuzzifiers that compute a weighted function on the fuzzy set.

related

• fuzzylite.defuzzifier.Defuzzifier
• fuzzylite.defuzzifier.WeightedAverage
• fuzzylite.defuzzifier.WeightedSum

Attributes

type instance-attribute

type = Type[type]

Classes

Type

Bases: Enum

Type of the weighted defuzzifier based on the terms in the fuzzy set.

• Automatic: Automatically inferred from the terms
• TakagiSugeno: Manually set to TakagiSugeno (or Inverse Tsukamoto)
• Tsukamoto: Manually set to Tsukamoto

Attributes

Automatic class-attribute instance-attribute

Automatic = auto()

TakagiSugeno class-attribute instance-attribute

TakagiSugeno = auto()

Tsukamoto class-attribute instance-attribute

Tsukamoto = auto()

Functions

__repr__

__repr__() -> str

Return the code to identify the type of defuzzifier in Python.

Returns:

Type	Description
str	code to identify the type of defuzzifier in Python.

Functions

__init__

__init__(type: str | Type = Type.Automatic) -> None

Constructor.

Parameters:

Name	Type	Description	Default
type	str | Type	name or type of the weighted defuzzifier.	Automatic

__repr__

__repr__() -> str

Return the code to construct the defuzzifier in Python.

Returns:

Type	Description
str	code to construct the defuzzifier in Python.

configure

configure(parameters: str) -> None

Configure the defuzzifier with the parameters.

Parameters:

Name	Type	Description	Default
parameters	str	list of space-separated parameter values	required

defuzzify abstractmethod

defuzzify(term: Term, minimum: float = nan, maximum: float = nan) -> Scalar

Implement the defuzzification of the term.

Warning

From version 8, the aggregation operator is used to aggregate multiple activations of the same term.

In previous versions, the implication and aggregation operators are not used for weighted defuzzification.

Parameters:

Name	Type	Description	Default
term	Term	term to defuzzify	required
minimum	float	irrelevant	nan
maximum	float	irrelevant	nan

Returns:

Type	Description
Scalar	defuzzified value

infer_type classmethod

infer_type(component: Term | Variable) -> Type

Infer the type of the defuzzifier based on the component.

Parameters:

Name	Type	Description	Default
component	Term | Variable	term or variable to infer the type for	required

Returns:

Type	Description
Type	inferred type of the defuzzifier based on the component.

parameters

parameters() -> str

Return the parameters to configure the defuzzifier.

Returns:

Type	Description
str	parameters to configure the defuzzifier.