[PDF] Top 20 Comparison Between Data Envelopment Analysis Models with Penalties

... DEA models are a general tool for efficiency and performance evaluation of the set of homogenous DMUs that spend multiple w inputs and transform them into multiple t ... See full document

... In models (a), (b) and (c), which based on a combination of Data Envelopment Analysis and Goal Programming, different results are obtained from each ...these models. On the other hand, ... See full document

... [2] Charnes, A. (1978). W.W.Cooper, E. Rhodes, Measuring the efficiency of decision making units, Eur. Oper. Res, 2(6) , 429-444. [3] Charnes, A. (1985). W.W.Cooper, B. Golany, 1.Seiford, J. Stutz, Foundations of ... See full document

... We now apply the proposed methodology to the PBC data set described in Fleming & Harrington (1991, App. D). It results from a Mayo Clinic trial in primary biliary cirrhosis (PBC) of the liver conducted ... See full document

... Although the traditional fuzzy theory provides a powerful framework to characterize vagueness and uncertainty, it ignores the hesitation of DMs in the decision-making process. Also, this theory cannot deal with certain ... See full document

... research models is the recognition of a ”utility function” which blends all variables relevant to a decision problem into a single variable which is to be optimized ... See full document

... The output of the undergraduate teaching process can be measured in a variety of ways. Measures based on the degree results achieved by graduates, the salary obtained by graduates in the labour market or the propensity ... See full document

... new models of imprecise data envelopment analysis, the above questions were answered, and some of the features of these two suggested models are presented below: "method for ... See full document

... to analysis congestion under the framework of DEA, which is widely recognized today ...DEA models with production trade-offs and weight ...on comparison of inputs ... See full document

... is data envelopment analysis, in which it is possible to use several inputs and outputs and there is no need to estimate the production function using various statistical ...of data ... See full document

... interval data, assume that preference intensity parameter and ratio parameter are estimated as  3  1 ...interval data, Farzipoor Saen [1] had assumed that preference intensity parameter on strong ordinal ... See full document

... relationship between financial liberalization, economic growth, and banking ...and models. Three different approaches are used, namely ratio analysis, stochastic frontier analysis (SFA), and ... See full document

... when x ' ≥ x and y ' ≥ y . In addition due to the fact that that input quantities appear to be the primary decision variables we use an input oriented models (Coelli et al., 2005). As suggested by several authors ... See full document

... relationship between diversification and financial ...by Data Envelopment Analysis (DEA) models and the effect of diversification on the efficiency scores of these corporations have ... See full document

... where E is a set of efficient units obtained from models (3) and (4). The set of last constraints related to efficient units. Because, it is possible, there are some inefficient units in the previous methods that ... See full document

... in Data Envelopment Analysis (DEA) is to determine the projection of inefficient Decision Making Units (DMUs) into the efficient ...DEA models, inputs and outputs of inefficient DMUs alter ... See full document

... the nature of the returns to scale of the production frontier, the elasticity of substitution of the inputs and outputs, the level of random noise in the data, etc... As it is not possib[r] ... See full document

... of models that relax the assumption of perfect homogeneity, especially in the last ...the data set in applications of DEA models. A problem of missing data in outputs is considered and ... See full document

... previous models and the weights of certain input or output components may still be zero; so, these components may not be involved in the efficiency measurement and incorrect efficiency values may ... See full document

... the Eq. (2.1), (2.2) and (2.3) in fuzzy environ- ment. But studies on Fuzzy DEA models still focus on the special DEA model and fuzzy num- ber and often apply only a single fuzzy number and the α-cut approach to ... See full document