A Fuzzy System is a form of computing that deals with reasoning that is approximate rather than fixed and exact. Unlike traditional binary systems that operate on true or false values, fuzzy systems allow for degrees of truth, enabling them to handle uncertainty and vagueness. This makes them useful in various applications, such as control systems and decision-making processes. Fuzzy systems are based on Fuzzy Logic, which was introduced by Lotfi Zadeh in the 1960s. They utilize fuzzy sets, where elements have varying degrees of membership, to model complex systems. This approach is particularly effective in fields like artificial intelligence, where human-like reasoning is required to solve problems that are not easily defined by strict rules.