Sammenlign metoder

	Grey-MABAC	Analytic Hierarchy Process	Best-Worst Method	Bayesian BWM
Fagfelt	Beslutningstaking	Beslutningstaking	Beslutningstaking	Beslutningstaking
Familie	MCDM	MCDM	MCDM	MCDM
Opprinnelsesår	2015	1980	2015	2020
Opphavsperson	Pamucar, D., Cirovic, G.	Saaty, T. L.	Rezaei, J.	Mohammadi, M., Rezaei, J.
Type	Grey outranking/ranking — Grey Interval Number (GIN: [x̲, x̄])	Pairwise comparison (eigenvalue)	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Opprinnelig kilde	Pamucar, D., Cirovic, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications	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
Alias	—	—	—	—
Relaterte	8	8	8	8
Sammendrag	GREY-MABAC (Grey-MABAC — Grey extension of MABAC) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamucar, D., Cirovic, G. in 2015. 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.