Activation

Activation

Bases: ABC

Abstract class for activation methods.

Activation methods implement the criteria to activate the rules in a rule block. Activation methods should process every rule and determine whether the rule is to be activated or deactivated.

related

• fuzzylite.activation.General
• fuzzylite.activation.First
• fuzzylite.activation.Last
• fuzzylite.activation.Highest
• fuzzylite.activation.Lowest
• fuzzylite.activation.Proportional
• fuzzylite.activation.Threshold
• fuzzylite.factory.ActivationFactory

Functions

__repr__

__repr__() -> str

Returns the code to construct the activation method in Python.

Returns:

Type	Description
str	code to construct the activation method in Python.

__str__

__str__() -> str

Return the code to construct the activation method in the FuzzyLite Language.

Returns:

Type	Description
str	code to construct the activation method in the FuzzyLite Language.

activate abstractmethod

activate(rule_block: RuleBlock) -> None

Implement the activation method of the rule block.

Parameters:

Name	Type	Description	Default
rule_block	RuleBlock	rule block to activate	required

assert_is_not_vector

assert_is_not_vector(activation_degree: Scalar) -> None

Assert that the activation degree is not a vector.

Parameters:

Name	Type	Description	Default
activation_degree	Scalar	activation degree to assert	required

Raises:

Type	Description
ValueError	if the activation degree contains more than one element

configure

configure(parameters: str) -> None

Configure the activation method with the parameters.

Parameters:

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

parameters

parameters() -> str

Return the parameters of the activation method.

Returns:

Type	Description
str	parameters of the activation method.