soft.fuzzy.logic.rules.reduction.frequent_yet_discernible package

Submodules

soft.fuzzy.logic.rules.reduction.frequent_yet_discernible.heuristic module

Implements the Frequent-Yet-Discernible Method. More specifically, this script contains the primary function, as well as its supporting helper methods that assist in calculating the heuristic.

soft.fuzzy.logic.rules.reduction.frequent_yet_discernible.heuristic.calc_fyd_heuristic(fuzzy_anchors_vertices, input_data, knowledge_base, subgraph, subgraph_fuzzy_anchors_vertices)

Calculates the heuristic for the Frequent-Yet-Discernible Method.

Parameters:

  • fuzzy_anchors_vertices

  • input_data

  • knowledge_base

  • subgraph

  • subgraph_fuzzy_anchors_vertices

Returns:

soft.fuzzy.logic.rules.reduction.frequent_yet_discernible.heuristic.calc_normalized_scalar_cardinalities(fuzzy_anchors_vertices, input_data, knowledge_base, vertices_usage_closeness)

Part of the Frequent-Yet-Discernible heuristic. Calculates the normalized scalar cardinalities and the vertices heuristics. The vertices heuristics are calculated as 1 - normalized usage closeness. The normalized scalar cardinalities are calculated as the scalar cardinalities divided by the maximum scalar cardinality.

Parameters:

  • fuzzy_anchors_vertices – The vertices of the fuzzy anchors.

  • input_data – The input data.

  • knowledge_base – The knowledge base.

  • vertices_usage_closeness – The vertices’ usage & closeness.

Returns:

The normalized scalar cardinalities and the vertices heuristics.

soft.fuzzy.logic.rules.reduction.frequent_yet_discernible.heuristic.calc_scalar_cardinality(knowledge_base, fuzzy_anchors_vertices, input_data)

Calculate the ‘scalar cardinality’, which is summation of the input granulation membership across the input data.

Parameters:

  • knowledge_base – soft.computing.knowledge.KnowledgeBase

  • fuzzy_anchors_vertices

  • input_data – The input data

Returns:

soft.fuzzy.logic.rules.reduction.frequent_yet_discernible.heuristic.find_heuristic_cutoff(vertices_heuristics)

Given the valid heuristics (i.e., not Numpy ‘nan’), find the cutoff value using the ‘Kneedle’ algorithm.

Parameters:

vertices_heuristics – The heuristic value of each vertex.

Returns:

The heuristic cutoff

soft.fuzzy.logic.rules.reduction.frequent_yet_discernible.heuristic.frequent_discernible(input_data, knowledge_base: KnowledgeBase, config: Config)

The fuzzy logic rule generation method called the Frequent But Discernible Method.

Parameters:

  • input_data

  • knowledge_base

  • config – A configuration file.

Returns:

soft.fuzzy.logic.rules.reduction.frequent_yet_discernible.heuristic.induce_subgraph(fuzzy_anchors_vertices, knowledge_base)

Find the subgraph with the vertices of interest, which are the vertices called rule_vertices (i.e., the vertices that reference the fuzzy logic rule relationships) and the vertices that reference the fuzzy sets (i.e., fuzzy_anchors_vertices).

Parameters:

  • fuzzy_anchors_vertices

  • knowledge_base

Returns:

soft.fuzzy.logic.rules.reduction.frequent_yet_discernible.visualize module

Functions for plotting the intermediate results of the Frequent-Yet-Discernible (FYD) Method.

soft.fuzzy.logic.rules.reduction.frequent_yet_discernible.visualize.plot_after_fyd_rule_deletion(subgraph, visual_style, config: Config)

Plots the subgraph after the deletion of the rules.

Parameters:

  • subgraph

  • visual_style

  • config – The configuration settings.

Returns:

soft.fuzzy.logic.rules.reduction.frequent_yet_discernible.visualize.plot_after_fyd_terms_deletion(subgraph, subgraph_layout, visual_style, config: Config)

Plots the subgraph after the deletion of the fuzzy linguistic terms.

Parameters:

  • subgraph

  • subgraph_layout

  • visual_style

  • config – The configuration settings.

Returns:

soft.fuzzy.logic.rules.reduction.frequent_yet_discernible.visualize.plot_before_fyd(subgraph, config: Config)

Plots the subgraph before the Frequent-Yet-Discernible algorithm.

Parameters:

  • subgraph

  • config – The configuration settings.

Returns:

soft.fuzzy.logic.rules.reduction.frequent_yet_discernible.visualize.plot_before_fyd_rule_deletion(subgraph, subgraph_layout, visual_style, config: Config)

Plots the subgraph before the deletion of the rules.

Parameters:

  • subgraph

  • subgraph_layout

  • visual_style

  • config – The configuration settings.

Returns:

soft.fuzzy.logic.rules.reduction.frequent_yet_discernible.visualize.plot_before_fyd_terms_deletion(subgraph, subgraph_fuzzy_anchors_vertices_to_delete, subgraph_layout, visual_style, config: Config)

Plots the subgraph before the deletion of the fuzzy linguistic terms.

Parameters:

  • subgraph – The subgraph.

  • subgraph_fuzzy_anchors_vertices_to_delete – The fuzzy anchors vertices to delete.

  • subgraph_layout – The subgraph layout.

  • visual_style – The visual style.

  • config – The configuration settings.

Returns:

The subgraph layout.

Module contents

Various code related to the reduction of fuzzy logic rules using the Frequent-Yet-Discernible Method.