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Home›Decision-making›Probabilistic Linguistic extension of TOPSIS
MCDMRankingLinguistic probabilistic

Probabilistic Linguistic extension of TOPSIS

PL-TOPSIS (Probabilistic Linguistic extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Lu, J., Wei, C. in 2019. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.

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PL-TOPSIS
AHPANPBWMBWM-BAYESIANCCSDCILOSCIMASCRITIC

When to use it

pl-topsis extends TOPSIS to handle Probabilistic Linguistic uncertainty. All arithmetic operations (normalisation, weighting, distance computation) are performed using Probabilistic Linguistic Term Set (PLTS: {L_k|p_k}) algebra. The final scores are defuzzified via expected linguistic value E = Σ p_k · index(L_k) 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. Lu, J., Wei, C. (2019). TOPSIS Method for Probabilistic Linguistic MAGDM with Entropy Weight and Its Application to Supplier Selection of New Agricultural Machinery Products. Entropy DOI: 10.3390/e21100953 ↗

How to cite this page

ScholarGate. (2026, June 2). Probabilistic Linguistic extension of TOPSIS. ScholarGate. https://scholargate.app/en/decision-making/pl-topsis

Related methods

AHPANPBWMBWM-BAYESIANCCSDCILOSCIMASCRITIC

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Similar methods

PL-TODIMPL-VIKORL2T-TOPSISPL-MARCOSPL-EDASP-TOPSISPHF-TOPSISL2T-VIKOR

Related reference concepts

Decision Support SystemsDecision MakingWeighted ScoresCriteria for Decision-Making under Risk and UncertaintyLogistic DiscriminationBayesian Model Averaging

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

ScholarGate — PL-TOPSIS (Probabilistic Linguistic extension of TOPSIS). Retrieved 2026-07-21 from https://scholargate.app/en/decision-making/pl-topsis · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
Lu, J., Wei, C.
Subfamily
Ranking
Year
2019
Type
Probabilistic Linguistic outranking/ranking — Probabilistic Linguistic Term Set (PLTS: {L k|p k})
Value Space
Linguistic probabilistic
Uncertainty
hybrid
Compensation
full
Rank Reversal
Yes
Related methods
AHPANPBWMBWM-BAYESIANCCSDCILOSCIMASCRITIC
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