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[PDF] Top 20 The Efficiency of MSBM Model with Imprecise Data (Interval)

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The Efficiency of MSBM Model with Imprecise Data (Interval)

The Efficiency of MSBM Model with Imprecise Data (Interval)

... Data Envelopment Analysis (DEA) is a non-parametric technique for measuring and evaluating the relative efficiency of a set of Decision Making Units (DMU) with alternative inputs and ...CCR model in ... See full document

8

Efficiency of decision making units in network DEA using interval data

Efficiency of decision making units in network DEA using interval data

... multiplicative model is able to calculate efficiency and the envelopment model can calculate the projection on the ...a model is presented that can calculate both frontier projection and ... See full document

8

Fink, Paul
  

(2018):


	Contributions to reasoning on imprecise data: imprecise classification trees, generalized linear regression on microaggregated data and imprecise imputation.


Dissertation, LMU München: Fakultät für Mathematik, Informatik und St

Fink, Paul (2018): Contributions to reasoning on imprecise data: imprecise classification trees, generalized linear regression on microaggregated data and imprecise imputation. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik

... the data generating ...of) model(s) – and hence the underlying data generating process(es) – another complication becomes evident: The model usually has to be estimated on the basis of ... See full document

57

Estimating Most Productive Scale Size of the provinces of Iran in the Employment sector using Interval data in Imprecise Data Envelopment Analysis(IDEA)

Estimating Most Productive Scale Size of the provinces of Iran in the Employment sector using Interval data in Imprecise Data Envelopment Analysis(IDEA)

... case, efficiency can be obtained as an ...of efficiency is related to optimistic case and the lower bound is related to pessimistic ...following model can be used to calculate BCC model upper ... See full document

12

Measuring performance of a hybrid system based on imprecise data: Modeling and solution approaches

Measuring performance of a hybrid system based on imprecise data: Modeling and solution approaches

... this model becomes more complex, resulting in an extremely high resolution ...the interval efficiencies which come to ...to interval efficiencies between the 24 ...alleviate efficiency. The ... See full document

26

Efficiency Evaluation and Ranking DMUs in the Presence of Interval Data with Stochastic Bounds

Efficiency Evaluation and Ranking DMUs in the Presence of Interval Data with Stochastic Bounds

... the interval approach is the evaluation of the lower and upper bounds of the relative efficiencies of the ...the interval approach (Despotis & Smirlis [8]; Entani, Maeda, & Tanaka [9]; Kao [10]; Kao ... See full document

10

A Note On Dual Models Of Interval DEA and Its Extension To Interval Data‎‎

A Note On Dual Models Of Interval DEA and Its Extension To Interval Data‎‎

... [8] interval DEA models are shown in the last column of Table ...all efficiency interval, evaluates all five DMUs as ...ciency interval, identifies only DMU 4 , which ... See full document

16

Methods of Optimization in Imprecise Data Envelopment Analysis

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 ... See full document

5

The Calculation of Unit's Efficiency by Using the Interval Balance Index and the Interval TOPSIS

The Calculation of Unit's Efficiency by Using the Interval Balance Index and the Interval TOPSIS

... the interval Balance index method and interval topsis, the data will be solved in the form of gams ...offered model, using the method mentioned in Jahanshahloo and colleagues, paper in 2009, ... See full document

9

A Bootstrap Interval Robust Data Envelopment Analysis for Estimate Efficiency and Ranking Hospitals

A Bootstrap Interval Robust Data Envelopment Analysis for Estimate Efficiency and Ranking Hospitals

... relative efficiency of organizational “units” such as bank branches, hospitals, vehicles, shops and other cases where units perform similar execution of ...input/output data and the information of all DMUs ... See full document

16

The Calculation of Unit's Efficiency by Using the Interval

The Calculation of Unit's Efficiency by Using the Interval

... of data in the form of gams software using the interval norm 1 method and finally after obtaining the upper and lower limits for the model, we will rank the bank branches by using the method ... See full document

9

Overall profit Malmquist productivity index under data uncertainty

Overall profit Malmquist productivity index under data uncertainty

... undesirable interval outputs. To deal with data uncer- tainty, a fuzzy approach was proposed by Wanke et ...the efficiency of ...uncertain data. Salehpour and Aghayi (2015) calculated revenue ... See full document

20

The Overall Efficiency in the Presence of Imprecise Adaptable Measures

The Overall Efficiency in the Presence of Imprecise Adaptable Measures

... the efficiency evaluation in the presence of imprecise information is fuzzy DEA ...DEA model to incorporate fuzzy data via the tolerance levels ...fuzzy data envelopment analysis ... See full document

10

A Multi objective model for supplier evaluation and selection in the presence of both cardinal and imprecise data

A Multi objective model for supplier evaluation and selection in the presence of both cardinal and imprecise data

... an imprecise DEA (IDEA) model to evaluate the performance of suppliers in the presence of both quantitative and qualitative ...proposed model to evaluate the performance of 18 suppliers based on ... See full document

9

Data envelopment analysis for imprecise data in Buyer-Seller Relationship

Data envelopment analysis for imprecise data in Buyer-Seller Relationship

... The model proposed by [1] named logistic score cards and [2] model are examples of all- inclusive models (overall efficiency of Buyer-Seller) and also [3] and [4] showed a number of applied ... See full document

8

Increasing discrimination efficiency in data envelopment analysis with imprecise input and output

Increasing discrimination efficiency in data envelopment analysis with imprecise input and output

... in data envelopment analysis (DEA) is to use the pessimistic view in the performance ...the efficiency frontier, and then a smaller number of units are located on the ...with imprecise inputs and ... See full document

10

Non convex technologies and economic efficiency measure with imprecise data

Non convex technologies and economic efficiency measure with imprecise data

... In data envelopment analysis (DEA) methodology, the boundary of the production pos- sibility set (PPS) plays a crucial role in efficiency and productivity ...price data in the form of a convex polyhedral ...a ... See full document

17

Cross-Efficiency Evaluation Based on an Interval Method

Cross-Efficiency Evaluation Based on an Interval Method

... In data envelopment analysis (DEA), several secondary goals have already been proposed in order to overcome the problem of the DEA alternative optimal weights in the cross-efficiency ...as interval ... See full document

8

Reaching the lower stratosphere: validating an extended vertical grid for COSMO

Reaching the lower stratosphere: validating an extended vertical grid for COSMO

... and model data, the grid point closest to each station was used to compare the simulation with ...each model output layer at even kilometers was identified with the height of that layer, the maximum ... See full document

17

Imprecise Synthesis

Imprecise Synthesis

... Intuitively we regard a phase as a composite global state with imprecise compositional semantics. A composite state within a UML statechart can have several entry and exit states (as well as a start and stop ... See full document

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