envelopment

Introduction to data envelopment analysis and its uses with DEA-solver software and references.

Developing Country Efficiency Assessment by Means of a Comprehensive Model Based on Data Envelopment Analysis, International Journal of Society Systems Science, 3(1/2), 58-80.

Review of ranking methods in the data envelopment analysis context.

Among the frontier methods which widely applied in analyzing efficiency within different sectors, we found data envelopment analysis (DEA) which developed by Charnes et al (1978) on the basis of Farrell's (1975) proposition of applying non-parametric approach for the measurement of technical and allocative efficiencies.

To deal with uncertainty in evaluating the efficiency of health systems, fuzzy data envelopment analysis (FDEA) can be used3 to measure efficiency if data are not known precisely10 or there is an incomplete, incorrect, or indefinite datum.

Since performance is the measure of a firm's outputs in relation to inputs it uses, this measure of performance is called productivity ratio and it is termed as natural measure of performance.8 To assess the performance of the exporting and non-exporting firms Data Envelopment Analysis (DEA) has been used for large manufacturing firms of Pakistan.

The application of output-oriented Data Envelopment Approach (DEA) is made under the condition of variable returns to scale.

This study aimed to master the efficiency and productivity of county-level public hospitals based on the data envelopment analysis (DEA) model and Malmquist index in Anhui, China, and then provide improvement measures for the future hospital development.

Envelopment. Envelopments send the attacking force around prominent enemy defenses to seize objectives in the enemy rear or to attack an assailable flank.

Previous studies have employed one of two dominant methods: Stochastic frontier analysis and Data Envelopment analysis or both of them.

On the other hand, very few studies estimated performance of firms by using data envelopment analysis (Sultan, 2013 and Warraich, 2011).

(1985) which are based on convexity assumption are famous with the name of data envelopment analysis (DEA).