Módszerek összehasonlítása

	A bipoláris kiterjesztése a MARCOS-módszernek	Analitikus Hierarchia Folyamat	Analytic Network Process (AHP visszacsatolással és kölcsönhatásokkal)	Legjobb-Legrosszabb Módszer
Tudományterület	Döntéshozatal	Döntéshozatal	Döntéshozatal	Döntéshozatal
Módszercsalád	MCDM	MCDM	MCDM	MCDM
Keletkezés éve	2020	1980	1996	2015
Megalkotó	Stević et al.	Saaty, T. L.	Saaty, T. L.	Rezaei, J.
Típus	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)	Pairwise comparison (best-to-others + others-to-worst vectors), LP
Alapmű	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	Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega
Alternatív nevek	—	—	—	—
Kapcsolódó	8	8	8	8
Összefoglaló	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 (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.