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Vektornormalisierung×Bewertung basierend auf der Distanz zur Durchschnittslösung×Technique for Order of Preference by Similarity to Ideal Solution×Gewichtete aggregierte Summen-Produkt-Bewertung×
FachgebietEntscheidungsfindungEntscheidungsfindungEntscheidungsfindungEntscheidungsfindung
FamilieMCDMMCDMMCDMMCDM
Entstehungsjahr1981201519812012
UrheberHwang, C. L., Yoon, K.Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z.Hwang, C. L., Yoon, K.Zavadskas, E. K., Turskis, Z., Antucheviciene, J., Zakarevicius, A.
TypNormalization (L2, unit-sphere projection)Distance from average solutionDistance-based (compromise)Convex combination (SAW + WPM)
Wegweisende QuelleHwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica DOI ↗Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications — A State-of-the-Art Survey. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗Zavadskas, E. K., Turskis, Z., Antucheviciene, J., Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Elektronika ir Elektrotechnika DOI ↗
Aliasnamen
Verwandt4888
ZusammenfassungNORM-VECTOR (Vector Normalization — Euclidean column-norm scaling (L2 normalisation)) is a normalization multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.EDAS (Evaluation Based on Distance from Average Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.WASPAS (Weighted Aggregated Sum Product Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z., Antucheviciene, J., Zakarevicius, A. in 2012. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateMethoden vergleichen: NORM-VECTOR · EDAS · TOPSIS · WASPAS. Abgerufen am 2026-06-18 von https://scholargate.app/de/compare