How does fuzzy logic differ from classical binary logic in handling real-world problems, and what are its advantages in control systems?

Fuzzy logic handles real-world problems by allowing for degrees of truth rather than binary true/false values. This is achieved using fuzzy sets with membership functions that express partial truths. In control systems, fuzzy logic offers advantages such as robustness to noise, the ability to handle non-linear systems, and ease of incorporating expert knowledge through linguistic rules. This results in more flexible and adaptable control mechanisms compared to classical binary logic.