ScholarGate
Assistent

Compara mètodes

Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.

Normalització lineal màxima×Avaluació Additiva de Ràtios×Avaluació Proporcional Complexa×
CampPresa de decisionsPresa de decisionsPresa de decisions
FamíliaMCDMMCDMMCDM
Any d'origen196720101996
Autor originalFishburn, P. C.Zavadskas, E. K., Turskis, Z.Zavadskas, E. K., Kaklauskas, A.
TipusNormalization (linear-max, ratio-based)Additive utility ratio (optimal reference row)Proportional assessment (benefit/cost split)
Font seminalFishburn, 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 ↗Zavadskas, E. K., Kaklauskas, A. (1996). Determination of an Efficient Contractor by Using the New Method of Multicriteria Assessment. International Symposium for The Organization and Management of Construction. Shaping Theory and Practice. Vol. 2: Managing the Construction Project and Managing Risk. CIB W 65 link ↗
Àlies
Relacionats488
ResumLINEAR-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.COPRAS (Complex Proportional Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Kaklauskas, A. in 1996. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGateConjunt de dades
  1. v1
  2. 1 Fonts
  3. PUBLISHED
  1. v1
  2. 1 Fonts
  3. PUBLISHED
  1. v1
  2. 1 Fonts
  3. PUBLISHED

Ves a la cerca Baixa les diapositives

ScholarGateCompara mètodes: LINEAR-MAX-NORMALIZATION · ARAS · COPRAS. Recuperat el 2026-06-18 de https://scholargate.app/ca/compare