For efficiency evaluation of some of the Decision Making Units that have uncertain information, Rough Data Envelopment Analysis technique is used, which is derived from rough set theorem and Data Envelopment Analysis (DEA). In some situations rough data alter nonradially. To this end, this paper proposes additive rough–DEA model and illustrates the proposed model by a numerical example.

Choosing funds is a general issue for investors, with the aim of balancing potential risks and returns. The this article to use super-efficiency approach analyze rank exchange-traded (ETFs) in order find best utility ETFs. range-adjusted measure (RAM)-based data envelopment analysis (DEA) model used work evaluate set ETFs inefficient funds, while RAM fully RAM-based efficient funds. Other slack...

In recent years, the importance of corporate environmental responsibility has gradually become more prominent. This study combines Slack-based Measurement (SBM) model with “Super-efficiency” to construct an performance evaluation based on Data Envelopment Analysis (DEA), which is used measure China’s large iron and steel enterprises from 2009 2017. Moreover, impact enterprise economic studied b...

Article history: Received 4 December 2009 Received in revised form 1 June 2011 Accepted 2 July 2011 Available online 12 July 2011

hospitals as the centers that consume the most resource of health system, based on their function have difference performance and efficiency. the purpose of this study was to assess the efficiency of ahvaz hospitals using data envelopment analysis (dea) method. this study is a descriptive-analytic study that assessed the efficiency of teaching and nonteaching hospitals in ahvaz using dea in 200...

the present study is an attempt toward evaluating the performance of portfolios and asset selectionusing cross-efficiency evaluation. cross-efficiency evaluation is an effective way of ranking decisionmaking units (dmus) in data envelopment analysis (dea). conventional dea models assume nonnegativevalues for inputs and outputs. however, we know that unlike return and skewness, varianceis the on...

data envelopment analysis (dea) is a method for measuring the relative efficiencies of a set of decision-making units (dmus) that use multiple inputs to produce multiple outputs. in this paper, we study the measurement of dmu performances in dea in situations where input and/or output values are given as imprecise data. by imprecise data we mean situations where we only know that the actual val...

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. th...

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