Hesitant Fuzzy Preference Envelopment Analysis (DHFPEA / SHFPEA, Zhou-Chen-Xu-Meng 2018)
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.
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When to use it
HFPEA ranks alternatives consistently with the decision maker's stated attribute priorities. An alternative efficient in HFEA but not in HFPEA is efficient only when allowed to over-emphasise its strongest criterion — which the preference ordering prevents. The improvement schedules reflect the preference-adjusted targets, not raw distance to frontier.
Strengths & limitations
- Follows a transparent, reproducible computational procedure that can be audited step by step.
- Handles multiple criteria of differing scales and units within a single decision matrix.
- May exhibit rank reversal when alternatives are added to or removed from the set.
- Assumes full compensation — a strong score on one criterion can offset a weak score on another.
Sources
- Zhou, W., Chen, J., Xu, Z. S., Meng, S. (2018). Hesitant fuzzy preference envelopment analysis and alternative improvement. Information Sciences DOI: 10.1016/j.ins.2018.07.002 ↗
How to cite this page
ScholarGate. (2026, June 2). Hesitant Fuzzy Preference Envelopment Analysis (DHFPEA / SHFPEA, Zhou-Chen-Xu-Meng 2018). ScholarGate. https://scholargate.app/en/decision-making/hfpea
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