[PDF] Top 20 A method to consider Non-Discretionary factors in Data Envelopment Analysis
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A method to consider Non-Discretionary factors in Data Envelopment Analysis
... Based on the work of Farrell [7], a body of literatures has developed analyzing the technical efficiency of individual decision making units (DMUs). The pioneering work on technical inefficiency of Farrell has re- ceived ... See full document
9
Prioritization method for non-extreme ecient unitsin data envelopment analysis
... eciency data envelopment analysis(DEA) model can be used in ranking the per- formance of ecient decision making ...DEA, non-extreme ecient units have a super eciency score one and the existing ... See full document
7
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 ...new method to identify ... See full document
11
Data Envelopment Analysis with Functional Data using Preference Method
... BCC method wherein the variable return to scale was ...now, data envelopment analysis is used and developed in many centers and organizations like banks, schools, universities, hospitals, ... See full document
6
A New Weighted Restriction Method for Data Envelopment Analysis
... Abstract—Data Envelopment Analysis (DEA) is one method to evaluate the relative efficiency of Decision Making Units ...this method is optimization becoming extremely weighted referring ... See full document
5
Selecting window width in data envelopment analysis using a method based on analytical hierarchical process
... Decision Analysis (MCDA) especially Analytical Hierarchy Process (AHP) to select the window width, for the following reasons: AHP assists decision makers to detect one decision alternative that best fits their end ... See full document
74
Modeling and optimization of energy consumption for grape fruit productionin Iran
... a non-parametric method of Data Envelopment Analysis (DEA) has used to estimate the energy efficiency of grapefruit production orchards in Sari region of ...determined. Data were ... See full document
12
Combination of DEA and ANP-QUALIFLEX Methods to determine the most Efficient Portfolio (Case study: Tehran Stock Exchange)
... other factors should be taken into ...making method should be used. The data envelopment analysis method, which is one of the multi-criteria decision-making methods, makes this ... 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 ...This method was originated in 1978 by the ... See full document
11
A Data Envelopment Analysis Model with Triangular Intuitionistic Fuzzy Numbers
... between non-membership function and membership function of different TIFNs, a new ranking function is proposed in this paper to address the existing ...measured method is put forward to handle the summation ... See full document
12
Portfolio Performance Evaluation in a Modified Mean-Variance-Skewness Framework with Negative Data
... This method reduces the number of calculations required information for the ...decision. Data envelopment analysis (DEA) has proved the efficiency for assessing the relative efficiency of ... See full document
13
Estimating Returns to Scale in the Presence of Undesirable Factors in Data Envelopment Analysis
... DEA method was introduced by Banker and Thrall [11] for estimating RTS of BCC-efficient ...another method to identify right and left returns to scales in ...a non-radial (RAM) ...imprecise ... See full document
20
An Alternative Secondary Goal Approach to Modify Cross Efficiency Evaluation in Data Envelopment Analysis
... The cross efficiency evaluation is used to performance measurement of decision making units in data envelopment analysis concept. One of the most important shortcoming of this method is ... See full document
10
Strategy Of Financial Efficiency Of Coal Companies In Indonesia In The Era Of Disruption
... [4]. Data Envelopment Analysis (DEA) method is made as a tool for evaluating the performance of an activity in a unit of entity / organization / decision making unit (DMU = Decision Making ... See full document
5
Satisfaction Function in Present Undesirable Factors
... Data Envelopment Analysis (DEA) is an efficient method to perform evaluation of ...undesirable factors in input & outputs by satisfaction function, testing some ...identify ... See full document
5
Measuring efficiency in the Croatian customs service: a data envelopment analysis approach
... concerning data and methodological framework have been used for measuring efficiency (Mandl, Dearx and Ilzkovitz, ...hand, non-parametric methods construct an efficiency frontier using input/output ... See full document
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Combining Data Envelopment Analysis And Business Process Simulation For Analyzing The Efficiency Of Business Processes
... Generally, DEA has been used to detect efficiency on an organizational level. However, there always exist parts of a company which are more and others which are less efficient. Measuring on an organizational level might ... See full document
5
The overall efficiency and projection point in network DEA
... Data envelopment analysis (DEA) is a non-parametric method for the evaluation of the efficiency of a set of homogeneous decision making units (DMUs) with multiple inputs and multiple ... See full document
8
A Comparison of Performance of Iranian Cooperatives in Job Creation
... using data envelopment analysis ...the data, the variable capital and the number of members were considered as the input and the output was the variable number of ... See full document
10
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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