In this paper, we show that inverse Data Envelopment Analysis (DEA) models can be used to estimate output with fuzzy data for a Decision Making Unit (DMU) when some or all inputs are increased and deficiency level of the unit remains unchanged
This paper offers a fuzzy optimization framework for data envelopment analysis (DEA) to evaluate the...
In most applications of Data Envelopment Analysis (DEA), the models presented are designed to obtain...
Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of...
Performance evaluation in conventional data envelopment analysis (DEA) requires crisp numerical valu...
Performance evaluation in conventional data envelopment analysis (DEA) requires crisp numerical valu...
Data envelopment analysis (DEA) is a non-parametric technique to measure the relative efficiencies o...
AbstractData envelopment analysis (DEA) is a non-parametric technique to measure the relative effici...
Data envelopment analysis (DEA) is a common technique in measuring the relative efficiency of a set ...
In this paper basic data envelopment analysis (DEA) models are proposed for evaluation decision maki...
Abstract Data envelopment analysis (DEA) is a mathematical programming approach for evaluating the r...
Data envelopment analysis (DEA) is a considerable mathematical programming technique for measuring t...
Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of...
. Data envelopment analysis is a technique for measuring the relative efficiency of a set of decisi...
Data envelopment analysis (DEA) measures the relative efficiency of decision making units (DMUs) wit...
In this paper we consider two methods for use conventional data envelopment analysis (DEA) in measur...
This paper offers a fuzzy optimization framework for data envelopment analysis (DEA) to evaluate the...
In most applications of Data Envelopment Analysis (DEA), the models presented are designed to obtain...
Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of...
Performance evaluation in conventional data envelopment analysis (DEA) requires crisp numerical valu...
Performance evaluation in conventional data envelopment analysis (DEA) requires crisp numerical valu...
Data envelopment analysis (DEA) is a non-parametric technique to measure the relative efficiencies o...
AbstractData envelopment analysis (DEA) is a non-parametric technique to measure the relative effici...
Data envelopment analysis (DEA) is a common technique in measuring the relative efficiency of a set ...
In this paper basic data envelopment analysis (DEA) models are proposed for evaluation decision maki...
Abstract Data envelopment analysis (DEA) is a mathematical programming approach for evaluating the r...
Data envelopment analysis (DEA) is a considerable mathematical programming technique for measuring t...
Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of...
. Data envelopment analysis is a technique for measuring the relative efficiency of a set of decisi...
Data envelopment analysis (DEA) measures the relative efficiency of decision making units (DMUs) wit...
In this paper we consider two methods for use conventional data envelopment analysis (DEA) in measur...
This paper offers a fuzzy optimization framework for data envelopment analysis (DEA) to evaluate the...
In most applications of Data Envelopment Analysis (DEA), the models presented are designed to obtain...
Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of...