Fuzzy Logic Systems are computational frameworks that handle reasoning that is approximate rather than fixed and exact. Unlike traditional binary logic, which operates on true or false values, fuzzy logic allows for degrees of truth, enabling systems to make decisions based on uncertain or imprecise information. This makes it particularly useful in situations where human reasoning is involved, such as in control systems and decision-making processes. These systems utilize fuzzy sets to represent data and rules that can accommodate varying levels of membership. For example, instead of categorizing temperature as simply "hot" or "cold," fuzzy logic can define it as "warm," "cool," or "moderate," allowing for more nuanced responses in applications like automated climate control or robotics.