Ranking All DEA-Efficient DMUs Based on Cross Efficiency and Analytic Hierarchy Process Methods

Ranking DMUs by Comparing DEA Cross-Efficiency Intervals Using Entropy Measures

Cross-efficiency evaluation, an extension of data envelopment analysis (DEA), can eliminate unrealistic weighing schemes and provide a ranking for decision making units (DMUs). In the literature, the determination of input and output weights uniquely receives more attentions. However, the problem of choosing the aggressive (minimal) or benevolent (maximal) formulation for decision-making might ...

Ranking stochastic efficient DMUs based on reliability

A generalized super-efficiency model for ranking extreme efficient DMUs in stochastic DEA

In this current study a generalized super-efficiency model is first proposed for ranking extreme efficient decision making units (DMUs) in stochastic data envelopment analysis (DEA) and then, a deterministic (crisp) equivalent form of the stochastic generalized super-efficiency model is presented. It is shown that this deterministic model can be converted to a quadratic programming model. So fa...

Ranking the Tendency to Risky Behaviors of Adolescents in Karaj Based on Analytic Hierarchy Process (AHP)

Introduction: The issue of social harms and their prevalence among adolescents has become one of the main concerns of families, health system, education and society. The aim of this study was to identify and rank the relationship to high-risk behaviors among students based on the method of hierarchical analysis. Materials and Methods: This research was conducted in a survey method on 60 adolesc...

Ranking efficient DMUs using minimizing distance in DEA

In many applications, ranking of decision making units (DMUs) is a problematic technical task procedure to decision makers in data envelopment analysis (DEA), especially when there are extremely efficient DMUs. In such cases, many DEA models may usually get the same efficiency score for different DMUs. Hence, there is a growing interest in ranking techniques yet. The main purpose of this paper ...