Objective: The aims of this study were to determine energy efficiency and CO2 use pattern of grape production in Zanjan province, Iran by a non-parametric method of data envelopment analysis (DEA). Methods: Initial data were collected using a face to face questionnaire from 42 orchards in Abhar city of Zanjan province which is one of the most important centers of grape production in ...

In many applications, discrimination among decision making units (DMUs) is a problematic technical task procedure to decision makers in data envelopment analysis (DEA). The DEA models unable to discriminate between extremely efficient DMUs. Hence, there is a growing interest in improving discrimination power in DEA yet. The aim of this paper is ranking extreme efficient DMUs in DEA based on exp...

In some data envelopment analysis (DEA) applications, some inputs of DMUs have negative values with positive cost. This paper generalizes the global cost Malmquist productivity index to compare the productivity of dierent DMUs with negative inputs in any two periods of times under variable returns to scale (VRS) technology, and then the generalized index is decomposed to several components. The...

Due to the complexity of financial markets and specialization of investment, the investors in financial markets need tools, methods and models by which they can choose the best investment and the most appropriate portfolios. Fama-French Five-Factor Model (FFFFM) is one of the newest methods among various methods for financial asset pricing and prediction of stock returns. The main aim of this r...

Abstract In this study, variable returns to scale (VRS) data envelopment analysis was integrated into the Taguchi approach optimize ternary additives for expansive soil enhancement. The selected were sawdust ash (SDA), quarry dust (QD) and ordinary Portland cement (OPC). set as input variables while multiple responses obtained from experiments performed with orthogonal array output variables. E...