Imprecise Data Envelopment Analysis (IDEA)
Methods of Optimization in Imprecise Data Envelopment Analysis
... of imprecise data such as fuzzy, ordinal and interval data in organizations the DEA models with exact data have been extended to imprecise ...whose data was imprecise. In ...
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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)
... an imprecise data envelopment analysis (IDEA) with interval data in ...of data envelopment ...precise data or stochastic data, their results are not ...
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A note on “Supplier selection by the pair of nondiscretionary factors-imprecise data envelopment analysis models”
... selection using DEA while there are nondiscretionary factors and imprecise data. The present note shows a computational error in computing the value of preference intensity parameter in Farzipoor Saen’s [1] ...
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Increasing discrimination efficiency in data envelopment analysis with imprecise input and output
... Data envelopment analysis is a mathematical programming technique which is used to compute relative efficiency, rank, return to scale, benchmarks and other applications of Decision Making Units ...
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DEA can evaluate the relative efficiencies of
... an imprecise data envelopment analysis (DEA) framework for evaluating the performance of state hospitals located in 26 districts of Istanbul, the largest city of Turkey that is also listed ...
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Data envelopment analysis for imprecise data in Buyer-Seller Relationship
... have imprecise information flow of each ...standard data envelopment analysis (DEA) method requires that the values for all inputs and outputs should be known ...bounded data, the DEA ...
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An application of data envelopment analysis on marble factories
... take into account uncertainty including chance-constrained (CC) DEA, imprecise DEA (IDEA), Monte Carlo simulation and bootstrapping. The authors have used DEA to ana- lyze various real-world situations involving, ...
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Context Dependent Data Envelopment Analysis with Interval Data
... original data set, without applying any scale transformations on ...interval data is ...interval data. For this rea- son we consider each DMU j , with interval data, as two ...
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Overall profit Malmquist productivity index under data uncertainty
... are imprecise and vary over intervals, showing that method (MCM 54: 2827–2838, 2011) has some ...cone-ratio data envelopment analysis models can be applied to the incorporated information as ...
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Data Envelopment Analysis Models in Non-Homogeneous Environment
... missing data that is based on the combination of traditional DEA methodology and analytic hierarchy ...or imprecise data in outputs in ...missing data in applications of DEA ...
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EFFICIENCY MEASUREMENT OF DELIVERY POST OFFICES USING FUZZY DATA ENVELOPMENT ANALYSIS (POSSIBILITY APPROACH)
... we used possibility approach to solve DEA with imprecise data. We measure efficiency of five Serbian post offices considering two inputs (number of employees and average waiting time) and one output (total ...
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Sensitivity in ranking for perturbations of data in DEA
... sensitivity analysis. One of the topics of DEA sensitivity analysis is based upon data ...sensitivity analysis paper by Charnes et ...sensitivity analysis articles by Charnes and ...
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Data Envelopment Analysis with Functional Data using Preference Method
... Period Data Envelopment Analysis to a fuzzy modelas we made the RBS numbers consideringthe mean, standard deviation, maximum and minimum of ...main data, we can attain the relation ...
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Failure Mode and Effects Analysis Using Data Envelopment Analysis
... effects analysis (FMEA) has proven to be a useful and powerful tool in assessing potential failures and preventing them from ...effect analysis can be described as a set of purposeful activities to identify ...
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Deriving Common Set of Weights in the Presence of the Undesirable Inputs: A DEA based Approach
... p , it suffices to solve model (8-2). For p , the objective is to minimize the maximum of individual deviations. Hence model (8) can be transformed to model (8-3). The most prominent characteristic features of these ...
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An extended data envelopment analysis for the decision making
... Without such considerations, scholars will not be tempted to invest the effort in an- alyzing and predicting the development trend of the DMUs by contrasting with grade standards. In fact, managers can analyze and predict ...
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The Evaluation of Performance of the Industrial Cities Using Data Envelopment Analysis Model
... Sciences, 2002, No .36, PP.231-238. [5]Mehrabian S., M.Alirezaee and G.Jahanshahloo (1999),“A Complete Efficeincy Ranking of Decision Units in Data Envelopment Analysis”, Computational Optimization ...
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Sensitivity and Stability Radius in Data Envelopment Analysis
... sensitivity analysis models for ecient and inecient units are reconsidered as a ...DEA analysis, one may want to know how sensitive these identications are, for possible vari- ations in the ...which ...
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An Approach to Identify and Evaluate Congestion in Data Envelopment Analysis
... Congestion indicates an economic state where inputs are overly invested. Evidence of congestion occurs whenever reducing some inputs can increase outputs. In this paper, we present a new model to identify and evaluate ...
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Productivity Management in Iranian Railway by Data Envelopment Analysis
... used data envelopment analysis (DEA) to analyze the productivity in Europe from 1980 to ...the data envelopment analysis, partial productivity analysis was ...Performance ...
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