Fuzzy Logic is a form of reasoning that deals with uncertainty and imprecision, unlike traditional binary logic, which operates on true or false values. It allows for degrees of truth, enabling systems to make decisions based on vague or ambiguous information. This approach is particularly useful in situations where human reasoning is involved, such as in control systems and decision-making processes. In Fuzzy Logic systems, variables can have a range of values between 0 and 1, representing the degree to which a statement is true. For example, instead of categorizing temperature as simply "hot" or "cold," it can be described as "warm" with a value of 0.7. This flexibility makes Fuzzy Logic applicable in various fields, including engineering, artificial intelligence, and economics.