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Home›Decision-making›Linguistic extension of L2T-COPRAS
MCDMRankingLinguistic 2tuple

Linguistic extension of L2T-COPRAS

L2T-COPRAS (Linguistic extension of L2T-COPRAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Gai, T., Cao, M., Cao, Q., Wu, J., Yu, G., Zhou, M. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.

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L2T-COPRAS
AHPANPBWMBWM-BAYESIANCCSDCILOSCIMASCRITIC

When to use it

l2t-copras extends L2T-COPRAS 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

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
  • 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

  1. Gai, T., Cao, M., Cao, Q., Wu, J., Yu, G., Zhou, M. (2021). An integrated method for hybrid distribution with estimation of demand matching degree (interval 2-tuple linguistic COPRAS). link ↗

How to cite this page

ScholarGate. (2026, June 2). Linguistic extension of L2T-COPRAS. ScholarGate. https://scholargate.app/en/decision-making/l2t-copras

Related methods

AHPANPBWMBWM-BAYESIANCCSDCILOSCIMASCRITIC

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Similar methods

L2T-CODASL2T-TOPSISL2T-TODIML2T-VIKORL2T-SAWL2T-EDASFUZZY-COPRASZ-COPRAS

Related reference concepts

Decision Support SystemsDecision MakingComputational LinguisticsArtificial IntelligenceCriteria for Decision-Making under Risk and UncertaintyWeighted Scores

Spotted an issue on this page? Report or suggest a fix →

ScholarGate — L2T-COPRAS (Linguistic extension of L2T-COPRAS). Retrieved 2026-07-21 from https://scholargate.app/en/decision-making/l2t-copras · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
Gai, T., Cao, M., Cao, Q., Wu, J., Yu, G., Zhou, M.
Subfamily
Ranking
Year
2021
Type
Linguistic outranking/ranking — 2-Tuple Linguistic Variable (2TL: (s i, α))
Value Space
Linguistic 2tuple
Uncertainty
epistemic
Compensation
full
Rank Reversal
Yes
Related methods
AHPANPBWMBWM-BAYESIANCCSDCILOSCIMASCRITIC
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