Estimation of efficiency of two-stage processes using a fully fuzzy range-adjusted measure approach and strong complementary slackness conditions

Document Type : Original Article

Authors

1 PhD student, Department of Mathematics, Faculty of Basic Sciences, Rasht Branch, Islamic Azad University, Rasht, Iran

2 Professor, Department of Mathematics, Faculty of Basic Sciences, Rasht Branch, Islamic Azad University, Rasht, Iran

3 Professor, Department of Mathematics, Faculty of Basic Sciences, Lahijan Branch, Islamic Azad University, Lahijan, Iran

4 Assistant Professor, Department of Mathematics, Faculty of Basic Sciences, Rasht Branch, Islamic Azad University, Rasht, Iran

Abstract

In recent decades, the topic of performance measurement has been one of the popular topics for large companies and manufacturers managers . The range - adjusted measurement ( RAM ) model in data envelopment analysis (DEA) is a non - radial model used to evaluate the performance of firms. Due to the presence of uncertain data in many investigations, a fully fuzzy range-adjusted measurement model with strong complementary slackness conditions to find efficient two-stage systems in a reference set is presented in this paper and it is used to evaluate airline . Given that we have a multi-objective network model of fully fuzzy range - adjusted measurement with strong complementary slackness conditions, the proposed model is solved using the lexicograph method . We also compare it with the existing fully fuzzy network DEA - range adjusted measurement model. Finally, we apply this model using the data of 14 Iranian airlines.

Keywords

References

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