This paper develops the presented method by Yan et al. [Eur. J. Operat. Res. 136 (2002) 19]. In this paper, the methods are introduced for evaluating the outputs of Decision Making Units (DMUs) by using interval data in Data Envelopment Analysis (DEA), when some or all inputs in an interval decision making unit (IDMU), fully are increased
Data envelopment analysis (DEA) is a mathematical programming for evaluating the relative efficiency...
The empirical literature has tried to propose relevant data envelopment analysis (DEA) models to eva...
The most commonly used non-parametric tool for measuring the relative efficiency of Decision Making ...
In this paper, we present a method for ranking decision making units (DMUs) with interval data in da...
Data envelopment analysis (DEA) is a non-parametric method for evaluating the relative efficiency of...
The traditional data envelopment analysis (DEA) model can evaluate the relative efficiencies of a se...
Data envelopment analysis (DEA) is a popular mathematical tool for analyzing the relative efficiency...
Data envelopment analysis (DEA) is a commonly used non-parametric technique for performance measurem...
Efficiency is a relative measure because it can be measured within different ranges. The traditional...
Interval data envelopment analysis (interval DEA) deals with the problem of efficiency assessment wh...
AbstractEfficiency is a relative measure because it can be measured within different ranges. The tra...
Data envelopment analysis (DEA) [1] is a non-parametric method for evaluating the relative effi-cien...
AbstractEfficiency could be not only the ratio of weighted sum of outputs to that of inputs but also...
Data envelopment analysis (DEA) is a data-driven and benchmarking tool for evaluating the relative e...
Conventional DEA models assume deterministic, precise and non-negative data for input and output obs...
Data envelopment analysis (DEA) is a mathematical programming for evaluating the relative efficiency...
The empirical literature has tried to propose relevant data envelopment analysis (DEA) models to eva...
The most commonly used non-parametric tool for measuring the relative efficiency of Decision Making ...
In this paper, we present a method for ranking decision making units (DMUs) with interval data in da...
Data envelopment analysis (DEA) is a non-parametric method for evaluating the relative efficiency of...
The traditional data envelopment analysis (DEA) model can evaluate the relative efficiencies of a se...
Data envelopment analysis (DEA) is a popular mathematical tool for analyzing the relative efficiency...
Data envelopment analysis (DEA) is a commonly used non-parametric technique for performance measurem...
Efficiency is a relative measure because it can be measured within different ranges. The traditional...
Interval data envelopment analysis (interval DEA) deals with the problem of efficiency assessment wh...
AbstractEfficiency is a relative measure because it can be measured within different ranges. The tra...
Data envelopment analysis (DEA) [1] is a non-parametric method for evaluating the relative effi-cien...
AbstractEfficiency could be not only the ratio of weighted sum of outputs to that of inputs but also...
Data envelopment analysis (DEA) is a data-driven and benchmarking tool for evaluating the relative e...
Conventional DEA models assume deterministic, precise and non-negative data for input and output obs...
Data envelopment analysis (DEA) is a mathematical programming for evaluating the relative efficiency...
The empirical literature has tried to propose relevant data envelopment analysis (DEA) models to eva...
The most commonly used non-parametric tool for measuring the relative efficiency of Decision Making ...