Abstract
The selection of advanced production technologies and the use of data envelopment analysis (DEA) are important complex organizational decisions. The basic DEA models are designed for certain data, while inputs and outputs of real world problems are ratio. This is because the use of specific data is not possible or practical, and appropriately responsive to the given area. This article developed a model capable of computing the Malmquist Productivity Index (MPI) aiming to determine the progress or regression of the units under evaluation in the presence of such data. The proposed model was then applied to a numerical example, and the results were addressed.
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