[PDF] Top 20 New DEA/Location Models with Interval Data
Has 10000 "New DEA/Location Models with Interval Data" found on our website. Below are the top 20 most common "New DEA/Location Models with Interval Data".
New DEA/Location Models with Interval Data
... applied DEA to measure the relative spatial efficiency of location ...their DEA models, they used two measures of access as input variables, the total travel distance and the extent of ... See full document
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Supplier selection under fuzzy environment: A hybrid model using kam in DEA
... hybrid Data Envelopment Analysis-Artificial Intelligence (DEA-AI) models are the effective models to assess the suppliers’ ...in DEA and Adaptive Fuzzy Inference System (ANFIS) as a ... See full document
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Ranking of DMUs on interval data by imposing a minimum weight restriction in DEA
... imprecise data such as bounded data, ordinal data and ratio bounded data in ...resulting DEA model was called imprecise DEA (IDEA), which transformed a non- linear programming ... See full document
10
Interval Malmquist Productivity Index in DEA
... The data envelopment analysis is a non- parametric method for evaluation of efficiency that is utilized for evaluation of relative efficiency and performance of a single collection of comparable ...The data ... See full document
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RECENT AND FUTURE EFFICIENCY OF THE NEW SUEZ CANAL PORTS PROJECT USING DEA- MODELS
... [4], data envelopment analysis will give relative efficiency of decision making units instead of absolute ...efficiency. Data envelopment analysis is based on mathematical calculation and also it is called ... See full document
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Ranking DMUs by New Metric DTM with Fuzzy Data in DEA
... the new metric D TM into two sub section interval metric D TMI and fuzzy metric D TMF ...fuzzy data is in section 4, then presents the conclusion in the last ... See full document
6
STOCHASTIC COST EFFICIENCY EVALUATION OF A SUPPLY CHAIN
... evaluation models related to some supply chain when dealing with imprecise ...data. Data envelopment analysis (DEA) method is a non-parametric mathematical programming approach to assess the ... See full document
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ESTIMATING RETURNS TO SCALE USING NON-RADIAL DEA MODELS
... non-radial data envelopment analy- sis (DEA) models to address a new concept of RTS termed the component RTS :a) The proportionate changes in input will not necessarily cause the proportionate ... See full document
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Using Non-Archimedean DEA Models for Classification of DMUs: A New Algorithm
... A new algorithm for classification of DMUs to efficient and inefficient units in data envelopment analysis is ...the new algorithm show the advantage of this algorithm compared to the Thrall’s ... See full document
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A novel radial super-efficiency DEA model handling negative data
... negative data is a relatively neglected issue in the DEA ...super-efficiency models have some shortcomings in ...super-efficiency DEA model based on Directional Distance Function (DDF) is ... See full document
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Target setting in additive models with preferences and interval data
... Data envelopment analysis is a powerful tool to measure the relative efficiency of each decision making unit. Unlike the original DEA model, we assume further that the levels of inputs and outputs are not ... See full document
7
Efficiency of decision making units in network DEA using interval data
... the models presented by Kao and Hwang [4], the hybrid mode is presented in a way that the following multiplicative model is presented by calculating the efficiency in first and second phases in the network and ... See full document
8
Accelerated life testing plans for the stochastic degradation models for censored data using log location scale distribution
... launch new products, engineers use accelerated tests to obtain needed information on the reliability by raising the levels of certain acceleration variables like temperature, voltage, humidity, stress, and ... See full document
6
DEA Models with Interval Scale Inputs and Outputs
... Data envelopment analysis (DEA) is a non-parametric method for evaluating the relative efficiency of decision-making units (DMUs) on the basis of multiple inputs and ...original DEA models ... See full document
7
A Note On Dual Models Of Interval DEA and Its Extension To Interval Data
... using DEA and simultane- ous application of crisp, ordinal and interval ...efficiency interval is obtained from the optimistic viewpoint based on the best position of each DMU using a set of the most ... See full document
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A new method for solving fuzzy DEA models
... (DEA) models which evaluate the eciency of a set of decision making units (DMUs) are unable to discriminate between ecient ...encounter data that are not deterministic or on have a stochastic essence ... See full document
8
An Extension of Enhanced Russell Measure to deal with Interval Scale Data in DEA
... Data envelopment analysis (DEA) is a non-parametric method for evaluating the relative efficiency of decision-making units (DMUs) on the basis of multiple inputs and ...original DEA models ... See full document
12
Extension on Regularity Condition in DEA Models
... of DEA models have been developed: The CCR model and the BCC model are well known as basic DEA ...of data envelopment analysis is also ...of data envelopment analysis is also BCC-ecient ... See full document
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A general Approach to find Non-Zero Multiplier Weights in DEA
... multiplier DEA model, for brevity, optimal maximal ...neutral DEA models will be proposed, so their previous defects are ...neutral DEA model are provided. In Section 3 the neutral DEA ... See full document
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APPLICATIONS OF STOCHASTIC MODELS IN ANALYSIS OF REAL DATA FOR FIRST BIRTH INTERVAL
... four models have been applied on various data sets of waiting time to first conception and on the basis of the values of chi-square, it can be concluded that whether a model is appropriate or ...the ... See full document
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