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. The most common method of defuzzification is the centroid method, which calculates the center of gravity of the fuzzy set. This approach ensures that the resulting value reflects the distribution of the fuzzy inputs, allowing for more accurate and meaningful decision-making in applications like control systems and artificial intelligence.