Confronta i metodi

	Estensione intervallare di TODIM	Processo Gerarchico Analitico	Metodo Best-Worst	BWM bayesiano
Campo	Processo decisionale	Processo decisionale	Processo decisionale	Processo decisionale
Famiglia	MCDM	MCDM	MCDM	MCDM
Anno di origine	2020	1980	2015	2020
Ideatore	Mishra, A. R., Rani, P., Pardasani, K. R., Mardani, A., Stević, Ž., Pamučar, D.	Saaty, T. L.	Rezaei, J.	Mohammadi, M., Rezaei, J.
Tipo	Interval outranking/ranking — Interval Number (IN: [a, b])	Pairwise comparison (eigenvalue)	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Fonte seminale	Mishra, A. R., Rani, P., Pardasani, K. R., Mardani, A., Stević, Ž., Pamučar, D. (2020). A novel entropy and divergence measures with multi-criteria service quality assessment using interval-valued intuitionistic fuzzy TODIM method. Soft Computing	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	—	—	—	—
Correlati	8	8	8	8
Sintesi	IV-TODIM (Interval extension of TODIM) is a ranking multi-criteria decision-making (MCDM) method introduced by Mishra, A. R., Rani, P., Pardasani, K. R., Mardani, A., Stević, Ž., Pamučar, D. 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.