Ranking of efficient decision-making units (DMUs) allows a further analysis of the data envelopment analysis (DEA) efficient DMUs, where otherwise a high number of efficient DMUs can be identified. The current research seeks to segregate the efficient DMUs through the use of seven cross-efficiency (CE) ranking approaches. The choice of using those CE approaches was meant to reduce bias associated with the use of a single criterion. The seven approaches were extended to suit a situation were DMUs are structured in a two-level hierarchical grouping. The CE of level 1 DMUs was adjusted with the performance of the level 2 DMUs. Variations in the seven adjusted CE ratings were observed. In a bid to ensure complete ranking, the technique for orde...
In many applications, discrimination among decision making units (DMUs) is a problematic technical t...
Data envelopment analysis (DEA) and multiple criteria decision aid (MCDA) are two well-known approac...
A fundamental weakness of the Data Envelopment Analysis (DEA) is its weak discrimination in cases wh...
AbstractData Envelopment Analysis (DEA) is a mathematical model that evaluates the relative efficien...
As regards of the necessity of ranking ecient units dierent Data Envelopment Analysis (DEA) models a...
Conventional data envelopment analysis (DEA) assists decision makers in distinguishing between effic...
AbstractOne of the most important topics in management science is determining the efficiency of Deci...
DEA have been used to evaluate the performances of decision making units (DMUs). And in most models ...
In this study a new method is developed for ranking all type of efficient decision making units (ext...
Cross efficiency is a method with the idea of peer evaluation instead of self-evaluation, and is use...
Ranking of efficient decision-making units (DMUs) using data envelopment analysis (DEA) results is v...
In the course of improving various abilities of data envelopment analysis (DEA) models, many investi...
AbstractThe motivation of this study is to propose an equitable method for ranking decision making u...
Data envelopment analysis (DEA) is basically a linear programming based technique used for measuring...
In evaluating decision making units (DMU) by using Data Envelopment Analysis (DEA) technique, it hap...
In many applications, discrimination among decision making units (DMUs) is a problematic technical t...
Data envelopment analysis (DEA) and multiple criteria decision aid (MCDA) are two well-known approac...
A fundamental weakness of the Data Envelopment Analysis (DEA) is its weak discrimination in cases wh...
AbstractData Envelopment Analysis (DEA) is a mathematical model that evaluates the relative efficien...
As regards of the necessity of ranking ecient units dierent Data Envelopment Analysis (DEA) models a...
Conventional data envelopment analysis (DEA) assists decision makers in distinguishing between effic...
AbstractOne of the most important topics in management science is determining the efficiency of Deci...
DEA have been used to evaluate the performances of decision making units (DMUs). And in most models ...
In this study a new method is developed for ranking all type of efficient decision making units (ext...
Cross efficiency is a method with the idea of peer evaluation instead of self-evaluation, and is use...
Ranking of efficient decision-making units (DMUs) using data envelopment analysis (DEA) results is v...
In the course of improving various abilities of data envelopment analysis (DEA) models, many investi...
AbstractThe motivation of this study is to propose an equitable method for ranking decision making u...
Data envelopment analysis (DEA) is basically a linear programming based technique used for measuring...
In evaluating decision making units (DMU) by using Data Envelopment Analysis (DEA) technique, it hap...
In many applications, discrimination among decision making units (DMUs) is a problematic technical t...
Data envelopment analysis (DEA) and multiple criteria decision aid (MCDA) are two well-known approac...
A fundamental weakness of the Data Envelopment Analysis (DEA) is its weak discrimination in cases wh...