Common-weights fuzzy DEA model in the presence of undesirable outputs with ideal and anti-ideal points: development and prospects

Abstract In the literature, fuzzy arithmetic approach has been used for solving data envelopment analysis (DEA) model in presence of undesirable outputs by use ideal and anti-ideal decision-making units (DMUs). order to obtain best worst efficiencies, such an allows each DMU choose most favorable weights via optimizing its own evaluation that needs solve various mathematical models. On one hand, find efficiency another increase computational complexity significantly. other fully flexibility leads different set may not be desirable. This paper proposes a common-weight method from two optimistic pessimistic perspectives environment determine common sets (CWS) compute efficiencies all DMUs. The advantages using DEA based upon are reduction complexities equitably on same base. proposed first solves linear programming DMUS, then combines them relative closeness index overall assessment. developed is illustrated numerical example form literature obtained results compared with those existing ones.