We develop authentic optimistic and pessimistic DEA models without convexity. The input- and output oriented FDH models are considered. In order to improve the discrimination power, extended super-efficiency FDH models are proposed. We bypass the infeasibility problem in the proposed FDH super models. Numerical results based on a case study from the literature are provided and compared with other models.