The authors revisit the defuzzification problem and they propose a few inquiries into the nature of defuzzification. The authors first give a brief survey of the main defuzzification schemes that have been proposed during the last few years. They still find that COG (center of gravity) and MOM (mean of maxima) remain standard defuzzification operators for most of the fuzzy sets that have been designed either in industry or in academia. The authors also propose a novel defuzzification method that is based on the uncertainty concept. It is a simple mechanism that uses the background information that is present in the universe of discourse, which provides a relative comparison with respect to the knowledge sources (fuzzy sets) that constitute it. Definitely, it makes sense to do a relative evaluation of the fuzzy set that is to be defuzzified.