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Prob-ARAS×Kriteriums-Impact-LOSs-objektive Gewichtungsmethode×
FachgebietEntscheidungsfindungEntscheidungsfindung
FamilieMCDMMCDM
Entstehungsjahr20102016
UrheberZavadskas, E. K. Turskis, Z.Zavadskas, E. K., Podvezko, V.
TypMonte Carlo / stochastic weight uncertainty extension of ARASRelative criterion-loss matrix weighting (Mirkin theorem based)
Wegweisende QuelleZavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy link ↗Zavadskas, E. K., Podvezko, V. (2016). Integrated Determination of Objective Criteria Weights in MCDM. International Journal of Information Technology & Decision Making DOI ↗
Aliasnamen
Verwandt88
ZusammenfassungPROB-ARAS (Prob-ARAS — Stochastic extension of PROB-ARAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K. Turskis, Z. in 2010. 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: PROB-ARAS · CILOS. Abgerufen am 2026-06-17 von https://scholargate.app/de/compare