Fuzzy logic is a form of reasoning that deals with uncertainty and imprecision, unlike traditional binary logic, which only allows true or false values. It uses 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 artificial intelligence. 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 "hot" or "cold," it can be described as "warm" with a value of 0.7. This flexibility allows for more nuanced decision-making in various applications, including automated control systems and data analysis.