Jämför metoder

	Cubic-WASPAS	Analytic Hierarchy Process	Analytic Network Process (ANP med återkoppling och beroenden)	Best-Worst Method	Bayesiansk BWM
Ämnesområde	Beslutsfattande	Beslutsfattande	Beslutsfattande	Beslutsfattande	Beslutsfattande
Familj	MCDM	MCDM	MCDM	MCDM	MCDM
Ursprungsår	2012	1980	1996	2015	2020
Upphovsperson	Jun, Y. B. Kim, C. S. Yang, K. O.	Saaty, T. L.	Saaty, T. L.	Rezaei, J.	Mohammadi, M., Rezaei, J.
Typ	Cubic outranking/ranking — Cubic Fuzzy Set (CuFS: interval [a,b] for internal membership, scalar λ for external)	Pairwise comparison (eigenvalue)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Ursprungskälla	Jun, Y. B., Kim, C. S., Yang, K. O. (2012). Cubic sets. Annals of Fuzzy Mathematics and Informatics	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	Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega
Alias	—	—	—	—	—
Närliggande	8	8	8	8	8
Sammanfattning	CUBIC-WASPAS (Cubic-WASPAS — Cubic extension of WASPAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Jun, Y. B. Kim, C. S. Yang, K. O. in 2012. 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.	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.