Linguistic extension of L2T-TODIM
L2T-TODIM (Linguistic extension of L2T-TODIM) is a ranking multi-criteria decision-making (MCDM) method introduced by Qi, X., Liang, C., Zhang, J. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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When to use it
l2t-todim extends L2T-TODIM 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.
Sources
- Qi, X., Liang, C., Zhang, J. (2021). A collaborative emergency decision making approach based on BWM and TODIM under interval 2-tuple linguistic environment. International Journal of Machine Learning and Cybernetics DOI: 10.1007/s13042-021-01412-7 ↗
How to cite this page
ScholarGate. (2026, June 2). Linguistic extension of L2T-TODIM. ScholarGate. https://scholargate.app/en/decision-making/l2t-todim
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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