HF-MaxScore-Portfolio — Hesitant Fuzzy Maximum-Score Portfolio Selection (Zhou-Xu 2018)
HF-MAXSCORE-PORT (HF-MaxScore-Portfolio — Hesitant Fuzzy Maximum-Score Portfolio Selection (Zhou-Xu 2018)) is a portfolio multi-criteria decision-making (MCDM) method introduced by Zhou, W. Xu, Z. 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
HF-MaxScore-Portfolio is suitable for general investors who want maximum expected return without an explicit risk constraint. It replaces the need for historical return/variance data with subjective HFE evaluations from domain experts. The output is not a ranking but an investment proportion vector — a higher w_i means more capital allocated to stock i.
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.
- Assumes full compensation — a strong score on one criterion can offset a weak score on another.
Sources
- Zhou, W., Xu, Z. (2018). Portfolio selection and risk investment under the hesitant fuzzy environment. Knowledge-Based Systems DOI: 10.1016/j.knosys.2017.12.020 ↗
How to cite this page
ScholarGate. (2026, June 2). HF-MaxScore-Portfolio — Hesitant Fuzzy Maximum-Score Portfolio Selection (Zhou-Xu 2018). ScholarGate. https://scholargate.app/en/decision-making/hf-maxscore-port