So far, many types of location models have been developed to find optimal spatial patterns according to different spatial metrics such as cost, coverage and availability.  The initial focus of these models is on the location availability of service providers and demand estimates, and some of these models are within the framework of multi-objective programming models.  After the advent of scienc...

The qualified specialist in internal medicine must maintain his knowledge at the level he reached when he specialized. This may be done by reading medical journals as well as regular attendance at his local hospital. Hence non-university hospitals have an important part to play in the continuing education of doctors, particularly since nowadays their facilities match the high standard of the do...

Technical efficiency of higher education has been mostly studied by the methods Data Envelopment Analysis and Stochastic Frontier Analysis. However, usually papers either compare the efficiency between public institutions or between departments and in both cases, using variables that reflect the teaching and the research with the same importance. In this paper the two methodologies are applied ...

This article combines two techniques: data envelopment analysis (DEA) and Factor analysis (FA) to data reduction in decision making units (DMU). Data envelopment analysis (DEA), a popular linear programming technique is useful to rate comparatively operational efficiency of decision making units (DMU) based on their deterministic (not necessarily stochastic) input–output data and factor analysi...

  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.