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Probabilistisch-linguistische Erweiterung von VIKOR×Kriteriums-Impact-LOSs-objektive Gewichtungsmethode×
FachgebietEntscheidungsfindungEntscheidungsfindung
FamilieMCDMMCDM
Entstehungsjahr20212016
UrheberLi, P., Liu, J., Wei, C.Zavadskas, E. K., Podvezko, V.
TypProbabilistic Linguistic outranking/ranking — Probabilistic Linguistic Term Set (PLTS: {L_k|p_k})Relative criterion-loss matrix weighting (Mirkin theorem based)
Wegweisende QuelleLi, P., Liu, J., Wei, C. (2021). An Improved PL-VIKOR Model for Risk Evaluation of Technological Innovation Projects with Probabilistic Linguistic Term Sets. International Journal of Fuzzy Systems DOI ↗Zavadskas, E. K., Podvezko, V. (2016). Integrated Determination of Objective Criteria Weights in MCDM. International Journal of Information Technology & Decision Making DOI ↗
Aliasnamen
Verwandt88
ZusammenfassungPL-VIKOR (Probabilistic Linguistic extension of VIKOR) is a ranking multi-criteria decision-making (MCDM) method introduced by Li, P., Liu, J., Wei, C. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CILOS (Criterion Impact LOSs objective weighting method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Podvezko, V. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateMethoden vergleichen: PL-VIKOR · CILOS. Abgerufen am 2026-06-17 von https://scholargate.app/de/compare