Sammenlign metoder

	Intuitionistic Fuzzy Multi-Attribute Utility Theory (IFWA-basert additiv nytte)	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	1986	1980	1996	2020
Opphavsperson	Atanassov, K. T.	Saaty, T. L.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
Type	Aggregation-operator-based additive ranking under Intuitionistic Fuzzy uncertainty (IFN: μ, ν; μ+ν ≤ 1)	Pairwise comparison (eigenvalue)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Opprinnelig kilde	Atanassov, K. T. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems	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	IF-MAUT (Intuitionistic Fuzzy Multi-Attribute Utility Theory (IFWA-based additive utility)) is a ranking multi-criteria decision-making (MCDM) method introduced by Atanassov, K. T. in 1986. 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.