 Two-stage common weight DEA-Based approach for performance evaluation with imprecise dataNazli Goker and E.Ertugrul Karsak Socio-Economic Planning Sciences, 2021, vol. 74, issue C Abstract: A multi-criteria decision making approach based on data envelopment analysis (DEA) is presented to identify the best performing decision making unit (DMU) accounting for multiple inputs and multiple outputs with the presence of imprecise data. The developed α-cut based two-stage mathematical programming approach, which yields feasible solutions for all α-cut levels, generates common set of weights for inputs and outputs, and thus, provides more practical and realistic performance assessment of DMUs. A single rank-order is obtained through OWA operator that is employed for aggregating the efficiency scores regarding α-levels for each DMU. The robustness of the developed methodology is illustrated by examples taken from earlier research studies along with a case study that is conducted to aid an expatriate to identify the most desirable country in terms of quality of living. The proposed approach provides a ranking with improved discriminating power and enhanced weight dispersion with regard to inputs and outputs while also guaranteeing to determine a single best performing DMU. Keywords: Data envelopment analysis; Performance evaluation; Common assessment; Imprecise data; Expatriation (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:74:y:2021:i:c:s0038012120307801 DOI: 10.1016/j.seps.2020.100943 Access Statistics for this article Socio-Economic Planning Sciences is currently edited by Barnett R. Parker More articles in Socio-Economic Planning Sciences from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.