Сравнение методов

	Байесовский BWM	Автоматическая попарная комбинация линейных порядков	Аддитивная оценка отношения
Область	Принятие решений	Принятие решений	Принятие решений
Семейство	MCDM	MCDM	MCDM
Год появления	2020	2020	2010
Автор метода	Mohammadi, M., Rezaei, J.	Konstantinos, N., Xenakis, A., Kehagias, A.	Zavadskas, E. K., Turskis, Z.
Тип	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision	Pairwise dominance aggregation (automatic combination)	Additive utility ratio (optimal reference row)
Основополагающий источник	Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega	Konstantinos, N., Xenakis, A., Kehagias, A. (2020). APLOCO: A linear programming-based multicriteria ranking method that handles dependent criteria and criteria groups. Operational Research	Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy
Другие названия	—	—	—
Связанные	8	8	8
Сводка	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.	APLOCO (Automatic Pairwise Linear Order Combination) is a ranking multi-criteria decision-making (MCDM) method introduced by Konstantinos, N., Xenakis, A., Kehagias, A. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	ARAS (Additive Ratio Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.