Fuzzy Logic Control is a method used in systems that require decision-making under uncertainty. Unlike traditional binary logic, which operates on true or false values, fuzzy logic allows for degrees of truth. This means it can handle vague or imprecise information, making it useful in real-world applications where conditions are not always clear-cut. In practice, fuzzy logic control is often applied in areas like automated temperature regulation and robotics. By using rules that mimic human reasoning, it can adjust outputs based on varying inputs, leading to more adaptable and efficient systems.