Interval Rough CODAS (Combinative Distance-based Assessment with Interval Rough Numbers for MCGDM)
IR-CODAS (Interval Rough CODAS (Combinative Distance-based Assessment with Interval Rough Numbers for MCGDM)) is a ranking multi-criteria decision-making (MCDM) method introduced by Cherif, M. R. Frikha, H. M. in 2021. 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
IR-CODAS extends the crisp CODAS method (Keshavarz Ghorabaee 2016) to interval rough numbers (Pamucar 2018) for multi-criteria GROUP decision making. Linguistic DM evaluations are first translated to integer poles (paper Table 1), then converted to per-DM IR matrices via rough-sequence operations (Eqs.7-12), then aggregated by averaging (Eq.28). This kernel accepts the group IR matrix and performs Steps 5-12.
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
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Sources
- 1.Cherif, M. R., Frikha, H. M. (2021). An extension of the CODAS method based on interval rough numbers for multi-criteria group decision making. Multiple Criteria Decision Making
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Cite this page
ScholarGate. (2026, June 2). IR-CODAS. ScholarGate. https://scholargate.app/decision-making/ir-codas