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HFGPE×HFPEA×
ОбластьПринятие решенийПринятие решений
СемействоMCDMMCDM
Год появления20182018
Автор методаZhou, W. Chen, J. Xu, Z. S. Meng, S.Zhou, W. Chen, J. Xu, Z. S. Meng, S.
ТипGeneralization 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.HFEA extension with ordinal attribute preference constraints — same score/deviation LP as HFEA but with additional weight ordering inequalities p_g ≥ p_t ≥ … ≥ p_m encoding the decision maker's stated preference order over criteria; produces preference-consistent efficiency rankings and improvement schedules.
Основополагающий источникZhou, 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 ↗
Другие названия
Связанные13
СводкаHFGPE (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.HFPEA (Hesitant Fuzzy Preference Envelopment Analysis (DHFPEA / SHFPEA, 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.
ScholarGateНабор данных
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  2. 1 Источники
  3. PUBLISHED
  1. v1
  2. 1 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: HFGPE · HFPEA. Получено 2026-06-18 из https://scholargate.app/ru/compare