Comparar métodos

	Extensão plitogênica de P-ARAS	Processo de Hierarquia Analítica	Método Best-Worst	Bayesian BWM
Área	Tomada de decisão	Tomada de decisão	Tomada de decisão	Tomada de decisão
Família	MCDM	MCDM	MCDM	MCDM
Ano de origem	2018	1980	2015	2020
Autor original	Smarandache, F.	Saaty, T. L.	Rezaei, J.	Mohammadi, M., Rezaei, J.
Tipo	Plithogenic outranking/ranking — Plithogenic Set (PltS: attribute values with contradiction degrees)	Pairwise comparison (eigenvalue)	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Fonte seminal	Smarandache, F. (2018). Plithogeny, Plithogenic Set, Logic, Probability, and Statistics. Pons Publishing, Brussels	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
Outros nomes	—	—	—	—
Relacionados	8	8	8	8
Resumo	P-ARAS (Plithogenic extension of P-ARAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Smarandache, F. in 2018. 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.