Sammenlign metoder

	Intervaludvidelse af TOPSIS	Analytisk Hierarkiproces	Analytic Network Process (ANP med feedback og indbyrdes afhængigheder)	Bayesian BWM
Fagområde	Beslutningstagning	Beslutningstagning	Beslutningstagning	Beslutningstagning
Familie	MCDM	MCDM	MCDM	MCDM
Oprindelsesår	2006	1980	1996	2020
Ophavsperson	Jahanshahloo, G. R., Lotfi, F. H., Izadikhah, M.	Saaty, T. L.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
Type	Interval outranking/ranking — Interval Number (IN: [a, b])	Pairwise comparison (eigenvalue)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Oprindelig kilde	Jahanshahloo, G. R., Lotfi, F. H., Izadikhah, M. (2006). An algorithmic method to extend TOPSIS for decision-making problems with interval data. Applied Mathematics and Computation	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	IV-TOPSIS (Interval extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Jahanshahloo, G. R., Lotfi, F. H., Izadikhah, M. in 2006. 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.