Comparer des méthodes

	Normalisation Linéaire Maximale	Évaluation du rapport additif	Évaluation Proportionnelle Complexe
Domaine	Prise de décision	Prise de décision	Prise de décision
Famille	MCDM	MCDM	MCDM
Année d'origine	1967	2010	1996
Auteur d'origine	Fishburn, P. C.	Zavadskas, E. K., Turskis, Z.	Zavadskas, E. K., Kaklauskas, A.
Type	Normalization (linear-max, ratio-based)	Additive utility ratio (optimal reference row)	Proportional assessment (benefit/cost split)
Source fondatrice	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	—	—	—
Apparentées	4	8	8
Résumé	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.