Fuzzy logic is a form of reasoning that deals with degrees of truth rather than the usual true or false (1 or 0) binary logic. It allows for more flexible and nuanced decision-making, making it useful in situations where information is uncertain or imprecise. This approach is often applied in control systems, such as those found in home appliances and automobiles, to improve performance and adaptability. In fuzzy logic, variables can have a range of values between 0 and 1, representing the level of truth. 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 helps systems better mimic human reasoning and improve outcomes in various applications, including artificial intelligence and data analysis.