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Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.
| HFGPE× | HFPE× | |
|---|---|---|
| Camp | Presa de decisions | Presa de decisions |
| Família | MCDM | MCDM |
| Any d'origen | 2018 | 2018 |
| Autor original | Zhou, W. Chen, J. Xu, Z. S. Meng, S. | Zhou, W. Chen, J. Xu, Z. S. Meng, S. |
| Tipus≠ | Generalization of HFPE: cross-efficiency E_{el}(d) = d·E^max_{el} + (1-d)·E^min_{el} blends benevolent (d=1) and aggressive (d=0) strategies via parameter d ∈ [0,1]. When d is unknown, the Backward Fitting Method (BFM) estimates the optimal d from historical/preference ranking constraints by solving a quadratic programme. Final ranking by column-mean of the blended cross-efficiency matrix. | Cross-efficiency DEA extended to HFS — each alternative is evaluated by both its own optimal HFEA weights (self-evaluation, score E_{ee}) and by the optimal weights of every other alternative (peer evaluation, cross-efficiency E_{el}). Benevolent strategy maximises peer scores; aggressive strategy minimises them. Final ranking by column-mean of cross-efficiency matrix. |
| Font seminal | Zhou, W., Chen, J., Xu, Z. S., Meng, S. (2018). Hesitant fuzzy preference envelopment analysis and alternative improvement. Information Sciences DOI ↗ | Zhou, W., Chen, J., Xu, Z. S., Meng, S. (2018). Hesitant fuzzy preference envelopment analysis and alternative improvement. Information Sciences DOI ↗ |
| Àlies | — | — |
| Relacionats≠ | 1 | 2 |
| Resum≠ | HFGPE (Hesitant Fuzzy Generalized Peer-Evaluation (strategy-blended cross-efficiency with BFM, Zhou-Chen-Xu-Meng 2018)) is a dea multi-criteria decision-making (MCDM) method introduced by Zhou, W. Chen, J. Xu, Z. S. Meng, S. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | HFPE (Hesitant Fuzzy Peer-Evaluation (benevolent / aggressive cross-efficiency, Zhou-Chen-Xu-Meng 2018)) is a dea multi-criteria decision-making (MCDM) method introduced by Zhou, W. Chen, J. Xu, Z. S. Meng, S. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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