Сравнение на методи

	PROMETHEE III	Аналитичен йерархичен процес	Аналитичен мрежов процес (AHP с обратна връзка и взаимозависимости)	Байесов BWM
Област	Вземане на решения	Вземане на решения	Вземане на решения	Вземане на решения
Семейство	MCDM	MCDM	MCDM	MCDM
Година на възникване	1986	1980	1996	2020
Създател	Brans, J. P. Vincke, P. Mareschal, B.	Saaty, T. L.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
Тип	Outranking via interval flows derived from net-flow mean and dispersion	Pairwise comparison (eigenvalue)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Основополагащ източник	Brans, J. P., Vincke, P., Mareschal, B. (1986). How to select and how to rank projects: The PROMETHEE method. European Journal of Operational Research	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
Други названия	—	—	—	—
Свързани	8	8	8	8
Резюме	PROMETHEE-III (PROMETHEE III — Preference Ranking Organisation METHod for Enrichment Evaluations III (interval ranking)) is a outranking multi-criteria decision-making (MCDM) method introduced by Brans, J. P. Vincke, P. Mareschal, B. in 1986. 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.