Fuzzy logic, often referred to as "soft" logic, is a form of reasoning that deals with degrees of truth rather than the traditional binary true or false. It allows for more flexible and nuanced decision-making, making it useful in situations where information is uncertain or imprecise. This approach is commonly applied in fields like artificial intelligence, control systems, and data analysis. 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 in creating systems that can mimic human reasoning and improve performance in complex tasks.