ScholarGate
Assistente

Comparar métodos

Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.

Min-Max Normalization×Avaliação Combinatória Baseada em Distância×Comparação de Área de Aproximação de Fronteira Multi-Atributiva×Medição de Alternativas e Ranking segundo a Solução de Compromisso×
ÁreaTomada de decisãoTomada de decisãoTomada de decisãoTomada de decisão
FamíliaMCDMMCDMMCDMMCDM
Ano de origem1981201620152020
Autor originalHwang, C. L., Yoon, K.Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J.Pamučar, D., Ćirović, G.Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P.
TipoNormalization (linear, range-scaling)Distance from anti-ideal (Euclidean + Taxicab)Border approximation area (distance from BAA)Utility function (ideal + anti-ideal reference)
Fonte seminalHwang, 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., Turskis, Z., Antucheviciene, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation and Economic Cybernetics Studies and Research link ↗Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications 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 ↗
Outros nomes
Relacionados8888
ResumoMIN-MAX-NORMALIZATION (Min-Max Normalization — linear rescaling of each criterion column to [0, 1]) 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.CODAS (Combinative Distance-Based Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.MABAC (Multi-Attributive Border Approximation area Comparison) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D., Ćirović, G. in 2015. 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 dados
  1. v1
  2. 1 Fontes
  3. PUBLISHED
  1. v1
  2. 1 Fontes
  3. PUBLISHED
  1. v1
  2. 1 Fontes
  3. PUBLISHED
  1. v1
  2. 1 Fontes
  3. PUBLISHED

Ir para a pesquisa Baixar slides

ScholarGateComparar métodos: MIN-MAX-NORMALIZATION · CODAS · MABAC · MARCOS. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare