Comparer des méthodes

	AHP-BOCR	Méthode Meilleur-Pire	Théorie de l'utilité multi-attributs
Domaine	Prise de décision	Prise de décision	Prise de décision
Famille	MCDM	MCDM	MCDM
Année d'origine	2008	2015	1976
Auteur d'origine	Thomas L. Saaty (AHP); BOCR framework development extended AHP	Rezaei, J.	Keeney, R. L., Raiffa, H.
Type	Hierarchical pairwise comparison with strategic perspective	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Additive multi-attribute utility function
Source fondatrice	Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83-98.	Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega	Keeney, R. L., Raiffa, H. (1976). Decisions with Multiple Objectives: Preferences and Value Trade-offs. Wiley ISBN: 978-0-521-43883-4
Alias	AHP-BOCR, Strategic Criteria AHP	—	—
Apparentées	5	8	8
Résumé	AHP-BOCR is an extension of the Analytic Hierarchy Process that incorporates strategic perspectives through the BOCR framework: Benefits, Opportunities, Costs, and Risks. Instead of optimizing a single objective, AHP-BOCR decomposes decisions into four strategic dimensions and uses a formula (Benefits × Opportunities) / (Costs × Risks) to synthesize a strategic priority. This approach is particularly suited to long-term, complex decisions with multiple stakeholder perspectives.	BWM (Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Rezaei, J. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	MAUT (Multi-Attribute Utility Theory) is a ranking multi-criteria decision-making (MCDM) method introduced by Keeney, R. L., Raiffa, H. in 1976. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.