Fuzzy Logic

Simple Definition for Beginners:

Fuzzy logic is a type of reasoning that deals with uncertainty and imprecision, allowing computer systems to make decisions based on vague or ambiguous information.

Common Use Example:

A car’s automatic climate control system uses fuzzy logic to adjust temperature settings. Instead of just “hot” or “cold,” fuzzy logic allows the system to consider factors like current temperature, humidity, and user preferences to find the optimal setting.

Technical Definition for Professionals:

Fuzzy logic is a mathematical approach to computing that deals with approximate reasoning rather than strict binary (true or false) logic. It allows for the representation of vague concepts and linguistic variables using membership functions and fuzzy sets. Fuzzy logic systems use rules and fuzzy inference to process input data and generate output based on degrees of truth rather than exact values. This flexibility makes fuzzy logic suitable for applications where precise calculations are challenging due to uncertainty, variability, or human subjectivity. It is commonly used in control systems, decision-making processes, and pattern recognition.