The credibility approach uses the ‘‘expected credits’’ of fuzzy variables to deal with the uncertainty in fuzzy objectives and fuzzy constraints. The approach transforms fuzzy DEA models into credibility programming-DEA models. Similar to the expected value approach to stochastic programming where random variables are replaced by their expected values, in the credibility programming-DEA (CP-DEA) model fuzzy variables are replaced by ‘‘expected credits,’’ which are derived by using credibility measures.