Methoden vergelijken

	Cubic-TOPSIS	Analytic Hierarchy Process	ANP	Beste-Worst Methode
Vakgebied	Besluitvorming	Besluitvorming	Besluitvorming	Besluitvorming
Familie	MCDM	MCDM	MCDM	MCDM
Jaar van ontstaan	2018	1980	1996	2015
Grondlegger	Garg, H., Kaur, G.	Saaty, T. L.	Saaty, T. L.	Rezaei, J.
Type	Cubic Intuitionistic Fuzzy ranking — CIFN = (IVIFN, IFN): interval membership/non-membership ⟨[ζL,ζU],[ϑL,ϑU]⟩ (IVIFS part) + point membership/non-membership ⟨ζ,ϑ⟩ (IFS part); extended TOPSIS with weighted generalised distance	Pairwise comparison (eigenvalue)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Pairwise comparison (best-to-others + others-to-worst vectors), LP
Oorspronkelijke bron	Garg, H., Kaur, G. (2018). Extended TOPSIS method for multi-criteria group decision-making problems under cubic intuitionistic fuzzy environment. Scientia Iranica E	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
Aliassen	—	—	—	—
Verwant	8	8	8	8
Samenvatting	CUBIC-TOPSIS (Cubic-TOPSIS — Cubic extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Garg, H., Kaur, G. in 2018. 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.