Сравнение методов

	Компромиссное программирование	Аналитический иерархический процесс	Метод Best-Worst	Байесовский BWM
Область	Принятие решений	Принятие решений	Принятие решений	Принятие решений
Семейство	MCDM	MCDM	MCDM	MCDM
Год появления	1973	1980	2015	2020
Автор метода	Zeleny, M.	Saaty, T. L.	Rezaei, J.	Mohammadi, M., Rezaei, J.
Тип	Distance-based — Lp metric to Pareto-optimal ideal (parametric p)	Pairwise comparison (eigenvalue)	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Основополагающий источник	Zeleny, M. (1973). Compromise programming. In: Multiple Criteria Decision Making (Cochrane & Zeleny, eds.), Univ. of South Carolina Press	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
Другие названия	—	—	—	—
Связанные	8	8	8	8
Сводка	COMPROMISE-PROGRAMMING (Compromise Programming — Lp-metric distance to ideal solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Zeleny, M. in 1973. 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.