Feature: Add tools for visualizing and explaining fuzzy logic decisions, such as decision surfaces, rule activation graphs, and membership function plots.
Benefit: Explainability is critical in AI, especially for applications like healthcare, finance, or autonomous systems. These tools would help users understand how the fuzzy logic system is making decisions.
Example: A dashboard that shows which rules were activated for a given input and how they contributed to the final output.
Feature: Add tools for visualizing and explaining fuzzy logic decisions, such as decision surfaces, rule activation graphs, and membership function plots.
Benefit: Explainability is critical in AI, especially for applications like healthcare, finance, or autonomous systems. These tools would help users understand how the fuzzy logic system is making decisions.
Example: A dashboard that shows which rules were activated for a given input and how they contributed to the final output.