A DEA model for two-stage systems with Fuzzy data

Data Envelopment Analysis (DEA) aims at assessing the relative efficiency of a number of comparable operating units. Network DEA is used when the units consist of interrelated processes. The simplest network DEA structure is a two-stage serial system. In this paper a well-known Fuzzy DEA approach is extended to this network DEA context. The proposed approach is simpler than the existing approach with which it is compared using a dataset from the literature.