Fuzzy Logic Theory

A formal system that extends classical logic to handle degrees of truth rather than the binary true/false. In fuzzy logic, a proposition can be 0.2 true, 0.8 true, etc. It uses truth values in the continuous interval 0,1 and defines logical operators (AND, OR, NOT) accordingly. Fuzzy logic theory underpins control systems, decision support, and approximate reasoning. It is not “vague” but mathematically rigorous, designed to model the inherent imprecision of natural language and real‑world measurement.

Example: “Fuzzy logic theory powered the washing machine that sensed ‘slightly dirty’ vs ‘very dirty’ and adjusted the cycle—no binary decisions, just graceful gradations.”

Fuzzy Logic Theory by Abzugal Nammugal Enkigal April 5, 2026