Universal efficiency scores in data envelopment analysis based on a robust approach

Robust efficiency in data envelopment analysis with VRS technology

One of the fundamental problems in the classic DEA is lack of ability to distinguish unit's performance scores that is considered as a disadvantage. Recently, Parkan et al. [9] tried to address this problem.   They proposed to assess each unit both optimistic and pessimistic views are taken into account. In contrast to traditional evaluation, one index is considered for each unit based on the l...

A Value Efficiency-Based Target Setting Approach in Data Envelopment Analysis

Basic models of Data Envelopment Analysis are intrinsically preference-free, in the sense that they consider all inputs and outputs and also all decision making units of the same importance. Although this property is beneficial in many ways, it has some drawbacks simultaneously, as the decision makers’ preferences are not taken into account in the process of evaluating units.  To overcome this ...

Robust data envelopment analysis with uncertain date: An analysis to measure hotel efficiency in Crete

Slacks-based measures of efficiency in imprecise data envelopment analysis: An approach based on data envelopment analysis with double frontiers

Article history: Received 17 April 2013 Received in revised form 30 August 2014 Accepted 26 October 2014 Available online 4 November 2014

A Bootstrap Interval Robust Data Envelopment Analysis for Estimate Efficiency and Ranking Hospitals

Data envelopment analysis (DEA) is one of non-parametric methods for evaluating efficiency of each unit. Limited resources in healthcare economy is the main reason in measuring efficiency of hospitals. In this study, a bootstrap interval data envelopment analysis (BIRDEA) is proposed for measuring the efficiency of hospitals affiliated with the Hamedan University of Medical Sciences. The propos...