Defuzzification is a process used in fuzzy logic systems to convert fuzzy sets into a single crisp value. In fuzzy logic, inputs are often represented as degrees of truth rather than binary true or false. Defuzzification helps in making decisions by providing a clear output that can be easily interpreted and acted upon. Common methods of defuzzification include the centroid method, which calculates the center of gravity of the fuzzy set, and the maximum method, which selects the highest membership value. These techniques are essential in applications like control systems and decision-making where precise outputs are necessary for effective functioning.