[PDF] Top 20 Data Envelopment Analysis Models in Non-Homogeneous Environment
Has 10000 "Data Envelopment Analysis Models in Non-Homogeneous Environment" found on our website. Below are the top 20 most common "Data Envelopment Analysis Models in Non-Homogeneous Environment".
Data Envelopment Analysis Models in Non-Homogeneous Environment
... Data envelopment analysis (DEA) is a non-parametric method that is widely used for relative efficiency and performance evaluation of the set of decision-making units ...DEA models is ... See full document
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A method to consider Non-Discretionary factors in Data Envelopment Analysis
... The applicability of DEA, however, depends crucially on the underlying production process. It is essential that the model be consistent with known properties of the production process. Production in the public sector has ... See full document
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Spatial Aspect in Bank Branch Performance Management
... articulated their insights on retail production, a production model (specified by enumeration of inputs and outputs) of the bank's branches could be developed. Simultaneously, technical efficiency and profitability were ... See full document
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Optimizing Energy Consumption Efficiency for Greenhouse Cucumber Production Using The Data Envelopment Analysis Technique in Lorestan Province of Iran
... impacts. Data envelopment analysis (DEA) is a non-parametric approach, supplies a wealth of information in the form of estimates of inefficiencies in both inputs and outputs for every DMU ... See full document
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DEA can evaluate the relative efficiencies of
... Data envelopment analysis (DEA) is a linear programming based decision technique designed specifically to measure relative efficiency using multiple inputs and outputs without a priori information ... See full document
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Some Conditions for Characterizing Minimum Face in Non-Radial DEA Models with Undesirable Outputs
... DEA models often need replacing the assumption of free disposability of outputs by weak disposability of ...of non-radial data envelopment analysis (DEA) models for obtaining all ... See full document
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An extended of multiple criteria data envelopment analysis models for ratio data
... in data envelopment analysis; this problem happens when the efficiency of units is inaccurately measured by conventional models such as CCR and BCC; in such cases, the efficiency scores ... See full document
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Neutrosophic perspective on DEA
... Data Envelopment Analysis (DEA) is a linear programming for measuring the relative efficiencies of homogeneous decision making units (DMUs) without knowing production functions, just by ... See full document
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A Data Envelopment Analysis Model with Triangular Intuitionistic Fuzzy Numbers
... (Data Envelopment Analysis) is a technique for evaluating the relative effectiveness of decision-making units (DMU) with multiple inputs and outputs data based on non- parametric ... See full document
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A Study on the Financial Performance of Companies Using Data Envelopment Analysis Model and Zemijsky's Model and a Comparison of their Results
... Different models are used for the prediction of bankruptcy and the evaluation of organizational financial ...two models of data envelopment analysis and Zemijsky and compare results ... See full document
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Using Non-Archimedean DEA Models for Classification of DMUs: A New Algorithm
... Data envelopment analysis (DEA) is a mathematical programming technique that evaluates the relative efficiency of a group of decision making units ...DEA models has appeared in the literature ... See full document
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Non-discretionary Factors in Data Envelopment Analysis: Review and Extension
... simulation analysis, the performance of the existing model declines as the relationship between non- discretionary inputs and true but unobserved efficiency gets ...in data envelopment ... See full document
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A Novel Efficiency Ranking Approach Based on Goal Programming and Data Envelopment Analysis for the Evaluation of Iranian Banks
... and non-branching banks were not found to be different ...multi-criteria data envelopment analysis (MCDEA) model, used in the literature to moderate the homogeneity of weights dispersion, ... See full document
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An Alternative Secondary Goal Approach to Modify Cross Efficiency Evaluation in Data Envelopment Analysis
... days, Data Envelopment Analysis is one of the most applied science in performance evaluation of homogeneous decision making unit such as chain stores, commercial banks, schools, ...the ... See full document
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Estimating Most Productive Scale Size of the provinces of Iran in the Employment sector using Interval data in Imprecise Data Envelopment Analysis(IDEA)
... the non- parametric Data Envelopment Analysis, which is based on mathematical linear programming and has been used several times in evaluating homogeneous decision making units (DMU’s) ... See full document
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Efficiency analysis in multi-stage network DEA-R models
... Data envelopment analysis (DEA) is a non-parametric method for evaluating performance of a set of decision-making units ...Farrell’s non-parametric method for a multiple inputs and ... See full document
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Portfolio Performance Evaluation in a Modified Mean-Variance-Skewness Framework with Negative Data
... negative data. Mean-variance non-linear framework and mean- variance-skewness non- linear framework had been proposed based on Data Envelopment Analysis, which the variance of ... See full document
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A Method for Identifying Congestion Using Non-Radial Models in Data Envelopment Analysis
... Data envelopment Analysis) DEA) is a nonparametric method that aims to use scientific methods in order to investigate the performance of Decision Making Unit ...has non-radial ... See full document
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Flexibility of Variations in Radial and Non-Radial Data Envelopment Analysis Models
... DEA models, the target unit for inefficient DMU is not necessarily efficient in these ...DEA models are proposed to determine the relative efficiency of DMUs with restricted ...and non-radial ... See full document
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Data Envelopment Analysis Models In The Presence Of Ratio Data and Non-Discretionary Factors
... The non-discretionary (ND) variables can be classified into external ND factors, or internal ND factors, depending on whether they are allowed to define the production possibilities set (PPS) or ... See full document
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