Comparar métodos

	Normalización lineal máxima	Evaluación de Razón Aditiva	Evaluación Proporcional Compleja
Campo	Toma de decisiones	Toma de decisiones	Toma de decisiones
Familia	MCDM	MCDM	MCDM
Año de origen	1967	2010	1996
Autor original	Fishburn, P. C.	Zavadskas, E. K., Turskis, Z.	Zavadskas, E. K., Kaklauskas, A.
Tipo	Normalization (linear-max, ratio-based)	Additive utility ratio (optimal reference row)	Proportional assessment (benefit/cost split)
Fuente 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	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
Alias	—	—	—
Relacionados	4	8	8
Resumen	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.	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.