Comparer des méthodes

	Pondération additive simple	Processus d'analyse hiérarchique	BWM bayésien
Domaine	Prise de décision	Prise de décision	Prise de décision
Famille	MCDM	MCDM	MCDM
Année d'origine	1967	1980	2020
Auteur d'origine	Fishburn, P. C.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
Type	Additive utility (linear)	Pairwise comparison (eigenvalue)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Source fondatrice	Fishburn, P. C. (1967). Additive utilities with incomplete product sets: Application to priorities and assignments. Operations Research	Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713	Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega
Alias	—	—	—
Apparentées	8	8	8
Résumé	SAW (Simple Additive Weighting) is a ranking 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.	AHP (Analytic Hierarchy Process) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1980. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	BWM-BAYESIAN (Bayesian BWM — Probabilistic Group Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Mohammadi, M., Rezaei, J. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.