Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Hesitant Fuzzy Envelopment Analysis (DHFEA / SHFEA, Zhou-Chen-Xu-Meng 2018)× | HFGPE× | |
|---|---|---|
| Obor | Rozhodování | Rozhodování |
| Rodina | MCDM | MCDM |
| Rok vzniku | 2018 | 2018 |
| Tvůrce | Zhou, W. Chen, J. Xu, Z. S. Meng, S. | Zhou, W. Chen, J. Xu, Z. S. Meng, S. |
| Typ≠ | DEA extension to Hesitant Fuzzy Sets — efficiency measured as weighted score-to-deviation ratio m_e = Σp_i·s_{ie} / Σq_i·d_{ie}; LP-solved in linearised DHFEA (deviation-normalised) or SHFEA (score-normalised) form; provides both ranking and improvement schedules for inefficient alternatives. | 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. |
| Původní zdroj | 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 ↗ |
| Další názvy | — | — |
| Příbuzné≠ | 3 | 1 |
| Shrnutí≠ | HFEA (Hesitant Fuzzy Envelopment Analysis (DHFEA / SHFEA, 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. | 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. |
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