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 …

Innovation is the engine and accelerator that drives high-quality economic and enterprise
development. In recent years, the output of scientific and technological innovation in China …

As an important leading industry in China's economy, the high-tech industry needs to
systematically analyze technological innovation activities, thereby measuring the …

Data envelopment analysis (DEA) is a mathematical approach for evaluating the efficiency
of decision-making units that convert multiple inputs into multiple outputs. Traditional DEA …

In conventional data envelopment analysis (DEA) models, data are usually considered as
continuous measures while the role of measures from input and/or output aspects is known …

Some input-output classifier data envelopment analysis (DEA) models in multiplier and
envelopment forms were developed to designate the status of flexible measures, playing …

Two-stage data envelopment analysis (DEA) efficiency models identify the efficient frontier of
a two-stage production process. In some two-stage processes, the inputs to the first stage …

Purpose The purpose of this study is to estimate inputs (outputs) and flexible measures
when outputs (inputs) are changed provided that the relative efficiency values remain …

Abstract The original Data Envelopment Analysis (DEA) models have required an
assumption that the status of all inputs and outputs be known exactly, whilst we may face a …

Abstract Standard Data Envelopment Analysis (DEA) models consider continuous-valued
and known input and output statuses for measures. This paper proposes an extended …