Порівняння методів

	MABAC (Multi-Attributive Border Approximation area Comparison)	Аналітичний ієрархічний процес	Байєсівський BWM
Галузь	Прийняття рішень	Прийняття рішень	Прийняття рішень
Родина	MCDM	MCDM	MCDM
Рік появи	2015	1980	2020
Автор методу	Pamučar, D., Ćirović, G.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
Тип	Border approximation area (distance from BAA)	Pairwise comparison (eigenvalue)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Основоположне джерело	Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications	Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713	Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega
Інші назви	—	—	—
Пов'язані	8	8	8
Підсумок	MABAC (Multi-Attributive Border Approximation area Comparison) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D., Ćirović, G. in 2015. 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-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.