Preference Ranking on the Basis of Ideal-Average Distance
PROBID (Preference Ranking on the Basis of Ideal-Average Distance) is a ranking multi-criteria decision-making (MCDM) method introduced by Wang, Z., Rangaiah, G. P., Wang, X. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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Method map
The neighbourhood of related methods — select a node to explore.
When to use it
Higher p_i = better. PROBID considers all m ideal solutions (ranked alternatives) and weights closer ideals more heavily. Complexity O(m²n) — suitable for moderate-size problems.
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
- Wang, Z., Rangaiah, G. P., Wang, X. (2021). Preference ranking on the basis of ideal-average distance method for multi-criteria decision-making. Industrial & Engineering Chemistry Research DOI: 10.1021/acs.iecr.1c01413 ↗
How to cite this page
ScholarGate. (2026, June 2). Preference Ranking on the Basis of Ideal-Average Distance. ScholarGate. https://scholargate.app/en/decision-making/probid
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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