Compara mètodes

	Anàlisi Comparativa Ideal-Real Multi-Atributiva	Procés Analític Jeràrquic	Analytic Network Process (AHP amb retroalimentació i interdependències)	BWM bayesià
Camp	Presa de decisions	Presa de decisions	Presa de decisions	Presa de decisions
Família	MCDM	MCDM	MCDM	MCDM
Any d'origen	2014	1980	1996	2020
Autor original	Pamučar, D., Vasin, Lj., Lukovac, V.	Saaty, T. L.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
Tipus	Gap matrix (theoretical vs actual preference)	Pairwise comparison (eigenvalue)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Font seminal	Pamučar, D., Vasin, Lj., Lukovac, V. (2014). Selection of railway level crossings for investing in security equipment using hybrid DEMATEL-MARICA model. XVI International Scientific-Expert Conference on Railway, Railcon	Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713	Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh ISBN: 0-9620317-9-8	Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega
Àlies	—	—	—	—
Relacionats	8	8	8	8
Resum	MAIRCA (Multi-Attributive Ideal-Real Comparative Analysis) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D., Vasin, Lj., Lukovac, V. in 2014. 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.	ANP (Analytic Network Process (AHP with feedback and interdependences)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1996. 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.