Fuzzy Logic
A logic system that handles reasoning with approximate, rather than binary true/false values—useful in control systems and uncertainty handling.
Definition
Uses degrees of membership functions and fuzzy rules (e.g., IF temperature IS “high” AND humidity IS “moderate” THEN fan_speed IS “medium”) to model imprecise, human-like reasoning. Governance of fuzzy-logic systems involves validating rule sets with domain experts, tuning membership parameters, and combining fuzzy outputs with crisp control strategies where necessary.
Real-World Example
A home-automation system uses fuzzy logic to control HVAC: instead of simple on/off thresholds, it adjusts heating based on fuzzy inputs like “slightly cold” or “very warm” derived from temperature sensors—providing smoother comfort control and saving energy. Domain experts periodically review and refine rules to match occupant feedback.
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