Fuzzy Logic

Fuzzy Logic is a form of logic that deals with reasoning that is approximate rather than fixed and exact. Unlike classical Boolean logic, which requires a proposition to be either true or false, fuzzy logic allows for the representation of degrees of truth. In fuzzy logic, truth values can range between 0 and 1, enabling the modeling of uncertainty and vagueness.Developed in the 1960s by Lotfi Zadeh, fuzzy logic is inspired by the way humans think and make decisions in uncertain situations. It works by using "fuzzy sets," where an element’s membership in a set is expressed in degrees rather than in binary terms. This makes fuzzy logic particularly useful in systems that need to handle imprecision and ambiguity, such as control systems, artificial intelligence, and decision-making processes.Fuzzy logic is widely applied in various fields, including engineering, computer science, and economics, often used in applications ranging from consumer electronics, such as washing machines, to complex systems like autonomous vehicles and robotics. It enables more human-like decision-making in systems that require flexibility and adaptability to changing inputs and scenarios.