Sammenlign metoder

	ELECTRE IV	Analytic Hierarchy Process	Analytic Network Process (ANP med tilbakekobling og gjensidige avhengigheter)	Bayesian BWM
Fagfelt	Beslutningstaking	Beslutningstaking	Beslutningstaking	Beslutningstaking
Familie	MCDM	MCDM	MCDM	MCDM
Opprinnelsesår	1982	1980	1996	2020
Opphavsperson	Roy, B., Hugonnard, J. C.	Saaty, T. L.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
Type	Weight-free outranking with pseudo-criteria (complete preorder)	Pairwise comparison (eigenvalue)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Opprinnelig kilde	Roy, B., Hugonnard, J. C. (1982). Ranking of suburban line extension projects on the Paris metro system by a multicriteria method. Transportation Research Part A	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
Alias	—	—	—	—
Relaterte	8	8	8	8
Sammendrag	ELECTRE-IV (ELECTRE IV — ELimination Et Choix Traduisant la REalité IV (no criterion weights)) is a ranking multi-criteria decision-making (MCDM) method introduced by Roy, B., Hugonnard, J. C. in 1982. 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.