MCDMWeight Objectivecrisp
LOgarithmic DEcomposition of Criteria Importance
LODECI (LOgarithmic DEcomposition of Criteria Importance) is a weight objective multi-criteria decision-making (MCDM) method introduced by Pala, O. in 2024. 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
Apply F.steps in order.
Strengths & limitations
Strengths
- 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.
Limitations
- Assumes full compensation — a strong score on one criterion can offset a weak score on another.
Sources
- Pala, O. (2024). Assessment of the social progress on European Union by logarithmic decomposition of criteria importance. Expert Systems With Applications DOI: 10.1016/j.eswa.2023.121846 ↗
How to cite this page
ScholarGate. (2026, June 2). LOgarithmic DEcomposition of Criteria Importance. ScholarGate. https://scholargate.app/en/decision-making/lodeci
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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