Usporedite metode

	Bipolarna proširenje metode MARCOS	Analitički hijerarhijski proces	Analytic Network Process (AHP s povratnim vezama i međuovisnostima)	Bayesov BWM
Područje	Donošenje odluka	Donošenje odluka	Donošenje odluka	Donošenje odluka
Obitelj	MCDM	MCDM	MCDM	MCDM
Godina nastanka	2020	1980	1996	2020
Tvorac	Stević et al.	Saaty, T. L.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
Vrsta	Bipolar outranking/ranking — Bipolar Fuzzy Set (BFS: positive membership μ⁺ ∈ [0,1], negative μ⁻ ∈ [-1,0])	Pairwise comparison (eigenvalue)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Temeljni izvor	Stević et al. (2020). Bipolar Fuzzy Measurement of Alternatives and Ranking according to Compromise Solution. Computers & Industrial Engineering	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
Drugi nazivi	—	—	—	—
Srodne	8	8	8	8
Sažetak	BF-MARCOS (Bipolar extension of MARCOS) is a ranking multi-criteria decision-making (MCDM) method introduced by Stević et al. in 2020. 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.