Comparar métodos

	Normalização Linear Máxima	Avaliação Aditiva de Razão	Medição de Alternativas e Ranking segundo a Solução de Compromisso
Área	Tomada de decisão	Tomada de decisão	Tomada de decisão
Família	MCDM	MCDM	MCDM
Ano de origem	1967	2010	2020
Autor original	Fishburn, P. C.	Zavadskas, E. K., Turskis, Z.	Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P.
Tipo	Normalization (linear-max, ratio-based)	Additive utility ratio (optimal reference row)	Utility function (ideal + anti-ideal reference)
Fonte seminal	Fishburn, P. C. (1967). Additive Utilities with Incomplete Product Sets: Application to Priorities and Assignments. Operations Research	Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy	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
Outros nomes	—	—	—
Relacionados	4	8	8
Resumo	LINEAR-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.	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.