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Data envelopment analysis is a relative performance assessment method to evaluate performance of a group of decision making units. Empirically, when the number of decision making units is insufficient, the classical data envelopment analysis models cannot discriminate the efficient units perfectly. To overcome this issue, in this paper, several mathematical approaches, including "multivariate data analysis techniques", "game theory", ESSSum of square deviations of members of cluster j from the cluster's center Highlights Multistage data analysis and game theory are combined with DEA to overcome the problem insufficient number of DMUs  An approach is proposed to integrate the results of different DEA models  The proposed approaches are applied to evaluate the performance of Iranian thermal power plants  The power plants should move from governmental structure toward becoming private  New cleaner production systems should be installed

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