Сравнение методов

	Сравнение по площади границы приближения для множества атрибутов	Аналитический иерархический процесс	Байесовский BWM
Область	Принятие решений	Принятие решений	Принятие решений
Семейство	MCDM	MCDM	MCDM
Год появления	2015	1980	2020
Автор метода	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
Основополагающий источник	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
Другие названия	—	—	—
Связанные	8	8	8
Сводка	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.