Criterion Impact LOSs objective weighting method
CILOS (Criterion Impact LOSs objective weighting method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Podvezko, V. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
Read the full method
Sign in with a free account to read this section.
Method map
The neighbourhood of related methods — select a node to explore.
+273 more
When to use it
CILOS assigns higher weight to criteria where choosing the optimal alternative for that criterion causes larger losses on other criteria. It is fully data-driven. CILOS weights are often combined with ENTROPY weights to produce IDOCRIW integrated objective weights.
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.
- Results depend on the chosen normalisation, weights, and parameter settings.
Sources
- Zavadskas, E. K., Podvezko, V. (2016). Integrated Determination of Objective Criteria Weights in MCDM. International Journal of Information Technology & Decision Making DOI: 10.1142/S0219622016500036 ↗
How to cite this page
ScholarGate. (2026, June 2). Criterion Impact LOSs objective weighting method. ScholarGate. https://scholargate.app/en/decision-making/cilos
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.
- AHPSORTDecision-making↔ compare
- APLOCODecision-making↔ compare
- ARASDecision-making↔ compare
- AROMANDecision-making↔ compare
- ARTASIDecision-making↔ compare
- COBRADecision-making↔ compare
- COCOSODecision-making↔ compare
- CODASDecision-making↔ compare