soft.fuzzy.logic.rules package

Subpackages

Submodules

soft.fuzzy.logic.rules.anchors module

Implements code to anchor granules in the KnowledgeBase class. This produces relevant attachment points in the KnowledgeBase.graph for fuzzy logic rules to be easily added by humans.

soft.fuzzy.logic.rules.anchors.anchor(granules: List[Type[ContinuousFuzzySet]], variable_offset: int = 0)

Anchor the list of ContinuousFuzzySet objects (i.e., make nodes that reference each set).

Parameters:

granules – A list of ContinuousFuzzySets; generates a list of nodes (i.e., anchors), implemented as tuples in the form (variable index, term index) in order for fuzzy logic rules to “attach” to, or reference the corresponding fuzzy sets within each ContinuousFuzzySet.
variable_offset – Begin counting from a different variable index other than zero. Default is zero.

Returns:

A list of nodes (i.e., anchors), implemented as tuples in the form (variable index, term index) in order for fuzzy logic rules to “attach” to, or reference the corresponding fuzzy sets within each ContinuousFuzzySet.

soft.fuzzy.logic.rules.criteria module

Module contents

This directory contains implementations for fuzzy logic rules, such as their creation or reduction.

class soft.fuzzy.logic.rules.LinguisticVariables(inputs, targets)

Bases: tuple

inputs: Alias for field number 0

targets: Alias for field number 1

class soft.fuzzy.logic.rules.Rule(premise, consequence, implication)

Bases: tuple

consequence: Alias for field number 1

implication: Alias for field number 2

premise: Alias for field number 0