In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …

In the course of improving various abilities of data envelopment analysis (DEA) models,
many investigations have been carried out for ranking decision‐making units (DMUs). This …

In this paper, the R&D green innovation of the Chinese high-tech industry can be regarded
as a system of three consequent stages. Firstly, considering the existence of multiple …

Abstract Data Envelopment Analysis (DEA) has been extended to cross-efficiency
evaluation for ranking decision making units (DMUs) and eliminating unrealistic weighting …

We introduce stochastic version of an input relaxation model in data envelopment analysis
(DEA). The input relaxation model, recently developed in DEA, is useful to resource …

In this paper, the concept of chance constrained programming approaches is used to
develop output oriented super-efficiency model in stochastic data envelopment analysis …

Congestion is an economic phenomenon in the production process where excessive
amounts of the input cause a reduction of the output. The motivation of this paper is to …

Special economic zones (SEZs) are important in Laos due to their ability to attract foreign
investment, realize industrialization, and promote economic globalization. Based on Laos' …

We develop an input-oriented super-efficiency measure in stochastic data envelopment
analysis. A deterministic equivalent of the stochastic super-efficiency model is given. It is …

Data envelopment analysis (DEA) is a linear programming technique that is used to
measure the relative efficiency of decision-making units (DMUs). Liu et al.(2008)[13] used …