Sammenlign metoder

	ELECTRE TRI-B	Analytisk Hierarkiproces	Analytic Network Process (ANP med feedback og indbyrdes afhængigheder)	Bayesian BWM
Fagområde	Beslutningstagning	Beslutningstagning	Beslutningstagning	Beslutningstagning
Familie	MCDM	MCDM	MCDM	MCDM
Oprindelsesår	1992	1980	1996	2020
Ophavsperson	Yu, W.	Saaty, T. L.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
Type	Outranking sorting — central (boundary) reference profiles	Pairwise comparison (eigenvalue)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Oprindelig kilde	Yu, W. (1992). ELECTRE TRI — Aspects méthodologiques et manuel d'utilisation. LAMSADE Cahier 74, Université Paris-Dauphine	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
Aliasser	—	—	—	—
Relaterede	8	8	8	8
Resumé	ELECTRE-TRI-B (ELECTRE TRI-B — Sorting with central reference profiles (boundary variant)) is a sorting multi-criteria decision-making (MCDM) method introduced by Yu, W. in 1992. 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.