Since its development attribute exploration was successfully applied in different fields, proving itself as a strong tool for knowledge acquisition. However, the disadvantage of this method is that it can be applied only for binary data. The growing number of applications of fuzzy logic in numerous domains including formal concept analysis makes it a natural wish to generalise the powerful technique of attribute exploration for fuzzy data. It is this paper's purpose to fulfill this wish and present a generalisation of attribute exploration to the fuzzy setting.