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Linear Max Normalization×Additive Ratio Assessment×
FachgebietEntscheidungsfindungEntscheidungsfindung
FamilieMCDMMCDM
Entstehungsjahr19672010
UrheberFishburn, P. C.Zavadskas, E. K., Turskis, Z.
TypNormalization (linear-max, ratio-based)Additive utility ratio (optimal reference row)
Wegweisende QuelleFishburn, P. C. (1967). Additive Utilities with Incomplete Product Sets: Application to Priorities and Assignments. Operations Research DOI ↗Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy link ↗
Aliasnamen
Verwandt48
ZusammenfassungLINEAR-MAX-NORMALIZATION (Linear Max Normalization — division by column maximum (benefit) or column minimum over value (cost)) is a normalization multi-criteria decision-making (MCDM) method introduced by Fishburn, P. C. in 1967. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.ARAS (Additive Ratio Assessment) 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.
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ScholarGateMethoden vergleichen: LINEAR-MAX-NORMALIZATION · ARAS. Abgerufen am 2026-06-15 von https://scholargate.app/de/compare