Сравнение на методи

	Компромисно класиране на алтернативи по разстояние до идеално решение	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	2021	1980	1996	2020
Създател	Puška, A., Stević, Ž., Pamučar, D.	Saaty, T. L.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
Тип	Distance from ideal and anti-ideal (geometric mean compromise)	Pairwise comparison (eigenvalue)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Основополагащ източник	Puška, A., Stević, Ž., Pamučar, D. (2021). Evaluation and selection of healthcare waste incinerators using extended sustainability criteria and multi-criteria analysis methods. Environment, Development and Sustainability	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	CRADIS (Compromise Ranking of Alternatives from Distance to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Puška, A., Stević, Ž., Pamučar, D. in 2021. 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.