Vertaile menetelmiä

	HFPEA	HFGPE
Tieteenala	Päätöksenteko	Päätöksenteko
Menetelmäperhe	MCDM	MCDM
Syntyvuosi	2018	2018
Kehittäjä	Zhou, W. Chen, J. Xu, Z. S. Meng, S.	Zhou, W. Chen, J. Xu, Z. S. Meng, S.
Tyyppi	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.	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.
Alkuperäislähde	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
Rinnakkaisnimet	—	—
Liittyvät	3	1
Tiivistelmä	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.	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.