Dynamic DEA with network structure: A slacks-based measure approach for fuzzy data

We propose a dynamic DEA model involving network structure in each period for fuzzy data within the framework of a slacks-based measure approach. In this paper we deal with multiple divisions connected by links of network structure with in each period for fuzzy data. This model compute, the overall efficiency over the entire observed period, dynamic change of period efficiency and dynamic change of divisional efficiency. The model can be implemented in input-, output-or non-(both) oriented forms under the CRS or VRS assumptions on the production possibility set.