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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...
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...
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...
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...
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...
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...

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