Linguistic extension of L2T-CODAS
L2T-CODAS (Linguistic extension of L2T-CODAS) is a ranking multi-criteria decision-making (MCDM) method introduced by He, Y., Wei, G., Chen, X., Zhao, J. in 2019. 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
l2t-codas extends L2T-CODAS to handle Linguistic uncertainty. All arithmetic operations (normalisation, weighting, distance computation) are performed using 2-Tuple Linguistic Variable (2TL: (s_i, α)) algebra. The final scores are defuzzified via Δ^{-1}(s_i, α) = i + α before ranking.
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.He, Y., Wei, G., Chen, X., Zhao, J. (2019). CODAS method for Pythagorean 2-tuple linguistic multiple attribute group decision making. Journal of Intelligent & Fuzzy Systems
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Cite this page
ScholarGate. (2026, June 2). L2T-CODAS. ScholarGate. https://scholargate.app/decision-making/l2t-codas