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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.
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
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How it works
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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
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
- Results depend on the chosen normalisation, weights, and parameter settings.
Common pitfalls
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Sources
- 1.Zavadskas, E. K., Podvezko, V. (2016). Integrated Determination of Objective Criteria Weights in MCDM. International Journal of Information Technology & Decision Making
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Cite this page
ScholarGate. (2026, June 2). CILOS. ScholarGate. https://scholargate.app/decision-making/cilos