The Fixed Weighting Nature of A Cross-Evaluation Model
By T. Anderson, K. Hollingsworth, L. Inman. 2002
241 citations recorded by the source corpus.
Subfields: Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/90a486d0b644a6c021707ede0d195cfad4229bb8
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In Management Science and Operations Research
Citations in the corpus
- Selecting symmetric weights as a secondary goal in DEA cross-efficiency evaluation (2011, background): “There are two principal advantages of cross-evaluation: (1) it provides a unique ordering of the DMUs and (2) it eliminates unrealistic weight schemes without requiring the elicitation of weight restrictions from application area experts [4].”
- Data envelopment analysis (DEA) - Thirty years on (2009, background): “It eliminates the need for incorporating additional weight restrictions on multipliers, thereby avoiding potentially unrealistic weighting schemes (Anderson et al., 2002). One can find many uses of cross efficiency for example, R&D project selection (Oral et al., 1991), preference voting (Doyle et a”
- The DEA Game Cross-Efficiency Model and Its Nash Equilibrium (2008, methodology): “It can eliminate the need for incorporation of additional weight restrictions into DEA, thereby avoiding unrealistic DEA weighting schemes (see Anderson et al. 2002).”
- Alternative secondary goals in DEA cross-efficiency evaluation (2008, background): “There are two principal advantages of cross evaluation: (1) it provides a unique ordering of the DMUs, and (2) it eliminates unrealistic weight schemes without requiring the elicitation of weight restrictions from application area experts (Anderson et al., 2002). Cross-efficiency evaluation has been”