The present study addresses the following question: if among a group of decision making units, the decision maker is required to increase inputs and outputs to a particular unit in which the DMU, with respect to other DMUs, maintains or improves its current efficiencylevel, how much should the inputs and outputs of the DMU increase? This question is considered as a problem of inverse data envel...

Parametric DEA models presume a functional form for the efficiency frontier and are used resource redistribution. Parabolic is particular case of these to redistribute single input in Variable Returns Scale scenarios. In this study, we extend model multiple inputs simultaneously, ensuring that all DMUs will become extreme efficient after redistribution maintaining their outputs. The proposed mu...

• Input homotheticity is equivalent with output under the α -returns to scale technology. Hicks neutrality neutral technical change α-returns The Malmquist and Hicks-Moorsteen productivity indexes can coincide if technology either input homothetic or homothetic. neutral. We analyze two popular notions in production theory: notion of Both these are characterized by radial expansions contractions...

Examining the impacts of data modification is considered as sensitivity analysis. A lot of studies have considered the data modification of inputs and outputs in DEA. The issues which has not heretofore been considered in DEA sensitivity analysis is modification in the number of inputs and (or) outputs and determining the impacts of this modification in the status of efficiency of DMUs. This pa...

the discharge or runoff which ousts from a watershed is important. because its deficiency leads to financial losses and its excesses cause damage in lives and property as flood. in this research using artificial neural network multi-layer perceptron (mlp (and adaptive neuro-fuzzy interface system (anfis) and multiple regression method simulated rainfall- runoff process on daily basis in the kho...

Stochastic frontier models along the lines of Aigner et al. are widely used to benchmark firms’ performances in terms efficiency. The typically fully parametric, with functional form specifications for as well both noise and inefficiency processes. Studies such Kumbhakar have attempted relax some restrictions parametric models, but so far all approaches limited a univariate response variable. S...