Skip to content

Automated Rule Generation #74

@amogorkon

Description

@amogorkon

Feature: Implement a feature to automatically generate fuzzy rules from data using clustering or optimization algorithms (e.g., genetic algorithms, particle swarm optimization).

Benefit: This would reduce the manual effort required to define fuzzy rules, making the library more accessible for AI applications where rules are not explicitly known.

Example: Given a dataset, the library could automatically generate a set of fuzzy rules to classify or predict outcomes.

Metadata

Metadata

Assignees

Type

No type

Projects

No projects

Milestone

No milestone

Relationships

None yet

Development

No branches or pull requests

Issue actions