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.
Key highlights
- 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.
Intuition
This section is available to Pro members. Upgrade to Pro
How it works
This section is available to Pro members. Upgrade to Pro
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.
Common pitfalls
This section is available to Pro members. Upgrade to Pro
Sources
- 1.Zhou, W., Xu, Z. (2018). Portfolio selection and risk investment under the hesitant fuzzy environment. Knowledge-Based Systems
You have read it. What now?
Cite this page
ScholarGate. (2026, June 2). HF-MAXSCORE-PORT. ScholarGate. https://scholargate.app/decision-making/hf-maxscore-port