Linguistic extension of L2T-VIKOR
L2T-VIKOR (Linguistic extension of L2T-VIKOR) is a ranking multi-criteria decision-making (MCDM) method introduced by Ju, Y., Wang, A. in 2013. 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-vikor extends L2T-VIKOR 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.
- May exhibit rank reversal when alternatives are added to or removed from the set.
- Assumes full compensation — a strong score on one criterion can offset a weak score on another.
Sources
- Ju, Y., Wang, A. (2013). Extension of VIKOR method for multi-criteria group decision making problem with linguistic information. Applied Mathematical Modelling DOI: 10.1016/j.apm.2012.07.035 ↗
How to cite this page
ScholarGate. (2026, June 2). Linguistic extension of L2T-VIKOR. ScholarGate. https://scholargate.app/en/decision-making/l2t-vikor
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