Comparar métodos

	Extensión Lingüística Probabilística de MARCOS	Proceso Analítico Jerárquico	Método Best-Worst	BWM-BAYESIAN (Método Bayesiano de Mejor-Peor para Grupos
Campo	Toma de decisiones	Toma de decisiones	Toma de decisiones	Toma de decisiones
Familia	MCDM	MCDM	MCDM	MCDM
Año de origen	2023	1980	2015	2020
Autor original	Wang, J., Wei, G., Wei, C., Wei, Y.	Saaty, T. L.	Rezaei, J.	Mohammadi, M., Rezaei, J.
Tipo	Probabilistic Linguistic outranking/ranking — Probabilistic Linguistic Term Set (PLTS: {L_k|p_k})	Pairwise comparison (eigenvalue)	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Fuente seminal	(). UNCONFIRMED — PL-MARCOS specific seminal not confirmed via systematic literature search. PENDING	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	—	—	—	—
Relacionados	8	8	8	8
Resumen	PL-MARCOS (Probabilistic Linguistic extension of MARCOS) is a ranking multi-criteria decision-making (MCDM) method introduced by Wang, J., Wei, G., Wei, C., Wei, Y. in 2023. 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.