Usporedite metode

	Bipolarna proširenje metode COPRAS	Analitički hijerarhijski proces	Metoda Best-Worst	Bayesov BWM
Područje	Donošenje odluka	Donošenje odluka	Donošenje odluka	Donošenje odluka
Obitelj	MCDM	MCDM	MCDM	MCDM
Godina nastanka	1996	1980	2015	2020
Tvorac	Zavadskas & Kaklauskas	Saaty, T. L.	Rezaei, J.	Mohammadi, M., Rezaei, J.
Vrsta	Bipolar outranking/ranking — Bipolar Fuzzy Set (BFS: positive membership μ⁺ ∈ [0,1], negative μ⁻ ∈ [-1,0])	Pairwise comparison (eigenvalue)	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Temeljni izvor	(). UNCONFIRMED — BF-COPRAS specific seminal not confirmed via systematic literature search. PENDING	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
Drugi nazivi	—	—	—	—
Srodne	8	8	8	8
Sažetak	BF-COPRAS (Bipolar extension of COPRAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas & Kaklauskas in 1996. 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.