Comparer des méthodes

	Classement de préférence stable vers la solution idéale	Processus d'analyse hiérarchique	Méthode Meilleur-Pire	BWM bayésien
Domaine	Prise de décision	Prise de décision	Prise de décision	Prise de décision
Famille	MCDM	MCDM	MCDM	MCDM
Année d'origine	2020	1980	2015	2020
Auteur d'origine	Dezert, J., Tchamova, A., Han, D., Tacnet, J. M.	Saaty, T. L.	Rezaei, J.	Mohammadi, M., Rezaei, J.
Type	Normalised distance to ideal (rank-reversal free)	Pairwise comparison (eigenvalue)	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Source fondatrice	Dezert, J., Tchamova, A., Han, D., Tacnet, J. M. (2020). The SPOTIS rank reversal free method for multi-criteria decision-making support. 2020 IEEE 23rd International Conference on Information Fusion (FUSION)	Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713	Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega	Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega
Alias	—	—	—	—
Apparentées	8	8	8	8
Résumé	SPOTIS (Stable Preference Ordering Towards Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Dezert, J., Tchamova, A., Han, D., Tacnet, J. M. in 2020. 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 (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.	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.