ScholarGate
Asistente

Comparar métodos

Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.

Normalización lineal máxima×Medición de Alternativas y Clasificación según la Solución de Compromiso×
CampoToma de decisionesToma de decisiones
FamiliaMCDMMCDM
Año de origen19672020
Autor originalFishburn, P. C.Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P.
TipoNormalization (linear-max, ratio-based)Utility function (ideal + anti-ideal reference)
Fuente seminalFishburn, P. C. (1967). Additive Utilities with Incomplete Product Sets: Application to Priorities and Assignments. Operations Research DOI ↗Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS). Computers & Industrial Engineering DOI ↗
Alias
Relacionados48
ResumenLINEAR-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.MARCOS (Measurement of Alternatives and Ranking according to Compromise Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGateConjunto de datos
  1. v1
  2. 1 Fuentes
  3. PUBLISHED
  1. v1
  2. 1 Fuentes
  3. PUBLISHED

Ir a la búsqueda Descargar diapositivas

ScholarGateComparar métodos: LINEAR-MAX-NORMALIZATION · MARCOS. Recuperado el 2026-06-15 de https://scholargate.app/es/compare