So sánh phương pháp

	Phân tích Bao trùm Ưu tiên Mờ Do dự (DHFPEA / SHFPEA, Zhou-Chen-Xu-Meng 2018)	Phân tích Bao trùm Mờ Lưỡng lự (DHFEA / SHFEA, Zhou-Chen-Xu-Meng 2018)	HFGPE	HFPE
Lĩnh vực	Ra quyết định	Ra quyết định	Ra quyết định	Ra quyết định
Họ	MCDM	MCDM	MCDM	MCDM
Năm ra đời	2018	2018	2018	2018
Người khởi xướng	Zhou, W. Chen, J. Xu, Z. S. Meng, S.	Zhou, W. Chen, J. Xu, Z. S. Meng, S.	Zhou, W. Chen, J. Xu, Z. S. Meng, S.	Zhou, W. Chen, J. Xu, Z. S. Meng, S.
Loại	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.	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.	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.
Công trình gốc	Zhou, W., Chen, J., Xu, Z. S., Meng, S. (2018). Hesitant fuzzy preference envelopment analysis and alternative improvement. Information Sciences	Zhou, W., Chen, J., Xu, Z. S., Meng, S. (2018). Hesitant fuzzy preference envelopment analysis and alternative improvement. Information Sciences	Zhou, W., Chen, J., Xu, Z. S., Meng, S. (2018). Hesitant fuzzy preference envelopment analysis and alternative improvement. Information Sciences	Zhou, W., Chen, J., Xu, Z. S., Meng, S. (2018). Hesitant fuzzy preference envelopment analysis and alternative improvement. Information Sciences
Tên gọi khác	—	—	—	—
Liên quan	3	3	1	2
Tóm tắt	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.	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.	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.