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Context-Dependent Data Envelopment Analysis with Interval Data
DEA Context-Dependent Interval Data Interval Attractiveness Interval Progress
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2013/1/30
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 outputs. The context-dependent DEA...
Two-person games with interval data
Game Theory Two-person Games LCP Interval Data
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2010/9/25
The conventional game theory is based on known payoffs. In the real situations, usually the payoffs are not known and have to be approximated. In this paper, a method for the two-person zero-sum and n...
A satisficing game theory approach for efficiency evaluation with interval data
Production systems Satisficing game theory DEA Performance analysis
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2010/9/25
In this study we consider the problem of analyzing the performance of a decision making unit in to two directions: at first stage, we consider resource utilization versus output performance and at sec...
Sensitivity and stability analysis in DEA on interval data by using MOLP methods
Data envelopment analysis Sensitivity and radius stability analysis MOLP Interval dat
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2010/9/13
In this paper, we suppose a method for analyzing sensitivity and stability of all the decision making units, while inputs and outputs are interval data. Therefore, for estimating radius of stability o...
Malmquist productivity index on interval data in telecommunication firms, Application of data envelopment analysis
Data Envelopment Analysis Malmquist productivity index
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2010/9/15
Performance evaluation of units under supervision in any organization is one of the most important topics of concern in management.Computing relative efficiency of related companies of an organization...
Classification of decision making units with interval data using SBM model
DEA Slacks SBM-efficiency Interval data
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2010/9/15
In original data envelopment analysis (DEA) models, the data for all inputs and outputs are known exactly. When some inputs and outputs are unknown decision variables, such as interval data, ordinal d...