This paper will examine the relationship between "Data Envelopment Analysis" and a statistical concept ``Outlier". Data envelopment analysis (DEA) is a method for estimating the relative efficiency of decision making units (DMUs) having similar tasks in a production system by multiple inputs to produce multiple ‎outputs.‎ An important issue in statistics is to identify the outliers. In this pap...

the performance evaluation and efficiency measurement of software companies and compare them together as a set of knowledge-based activities due to the unknown of internal processes and stages common to these companies and ignoring these processes in performance evaluation by data envelopment analysis models and how to consider these processes and procedures for calculating efficiency of each s...

When analyzing the productivity of rms one may want to compare how the rms transform a set of inputs x typically labor energy or capital into an output y typically a quantity of goods produced The economic e ciency of a rm is then de ned in terms of its ability of operating close to or on the production frontier which is the boundary of the production set The frontier function gives the maximal...

The growing awareness on the multiple environmental impacts of livestock production has risen the necessity to widen the definition of efficiency to a multidimensional eco-efficiency concept. Our paper suggests a combined approach of a whole-farm agronomic model and frontier efficiency method to explore deeply the determinants of eco-efficiency. The whole-farm model used, GAMEDE, is randomly pa...

introduction: due to increased costs of health sector, much effort has been done to compare the performance of hospitals and measure their efficiency in recent years. the purpose of this study was to evaluate the relative efficiency of public and private hospitals in qom during 2007 using data envelopment analysis (dea) approach. methods: this was an applied and analytic study. the study popula...

Many combinatorial optimization problems require the assignment of a set of variables in such a way that an objective function is optimized. Often, the objective function involves different criteria, and it may happen that the requirements are in conflict: assignments that are good wrt. one objective may behave badly wrt. another. An optimal solution wrt. all criteria may not exist, and either ...