Relative efficiency assessment without slacks in BCC DEA-based model

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Azam Pourhabib

Abstract

In data envelopment analysis (DEA) models, weak efficient units with zero weights are almost appeared as reference points in the models. To avoid zero weights or equivalently non-zero slacks in DEA evaluation, weights restrictions are used frequently. In this paper, a one-step method is presented based on the restricting input/output weights in the BCC DEA model for evaluating performance that guarantees non- zero weights and prevents weights dissimilarity.

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How to Cite
Azam Pourhabib. (2021). Relative efficiency assessment without slacks in BCC DEA-based model. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(14), 1763–1773. https://doi.org/10.17762/turcomat.v12i14.10520
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