Abstract: Data Envelopment Analysis (DEA) is a mathematical programming method for the assessment of relative efficiency of a set of Decision Making Units (DMUs) that use several inputs to produce several outputs. It measures the efficiency of each Decision Making Unit (DMU) by maximizing the ratio of virtual output to virtual input with the constraint that the ratio does not exceed one for eac...

Introduction: Data envelopment analysis (DEA) is a data-oriented method for measuring and benchmarking the relative efficiency of peer decision making units (DMUs) with multiple inputs and multiple outputs. DEA was initiated in 1978 when Charnes, Cooper and Rhodes (CCR) demonstrated how to change a fractional linear measure of efficiency into a linear programming format. This non-parametric app...

In banking system the evaluation of productivity and performance is key factor among fundamental concepts in management. For identify potential a bank efficiency parameter to evaluate effective system. To measure selection appropriate input-output variables one most vital issues. The suitable identification helps create model order analysis. Data Envelopment Analysis (DEA) mathematical approach...

Slovak spa services are not given sufficient attention directly following the support and sustainable development. The paper focuses on evaluation of overall development current level efficiency spas in 2013–2018, through application DEA models. Input variables (total number beds, employees, medical staff) output (use bed capacity, treated clients) within structure models analyzed (CCR-I, CCR-O...

data envelopment analysis (dea) is a widely recognized approach for evaluating the efficiencies of decision making units (dmus). because of easy and successful application and case studies, dea has gained much attention and widespread use by business and academy researchers. the conventional dea models (e.g. bcc and ccr) make an assumption that input and output data are exact values on a ratio ...

  A data envelopment analysis (DEA) method can be regarded as a useful management tool to evaluate decision making units (DMUs) using multiple inputs and outputs. In some cases, we face with imprecise inputs and outputs, such as fuzzy or interval data, so the efficiency of DMUs will not be exact. Most researchers have been interested in getting efficiency and ranking DMUs recently. Models of th...

The Cuckoo optimization algorithm (COA) is developed for solving single-objective problems and it cannot be used for solving multi-objective problems. So the multi-objective cuckoo optimization algorithm based on data envelopment analysis (DEA) is developed in this paper and it can gain the efficient Pareto frontiers. This algorithm is presented by the CCR model of DEA and the output-oriented a...

Health care organizations must continuously improve their productivity to sustain long-term growth and profitability. Sustainable productivity performance is mostly assumed to be a natural outcome of successful health care management. Data envelopment analysis (DEA) is a popular mathematical programming method for comparing the inputs and outputs of a set of homogenous decision making units (DM...