Abstract
Data envelopment analysis (DEA) classic models suppose that the data for all inputs and outputs are accurate and determinate and DEA classic model has not defined for inaccurate and indeterminate data. But in the real world, most of the time, there are varieties of uncertainty in the models including interval, fuzzy, grey and probable. In this paper, a DEA multi-objective model is suggested in the grey environment for finding the common weights for decision-making units and computing the privilege of DMUs efficiency for the purpose of more accurate ranking. Finally, in order to assess the results, an example is offered for comparing DMUs ranking via DEA classic models and the presented model.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Modelling in Operations Management
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.