Võrdle meetodeid

	Rough-DRSA	Analytic Hierarchy Process	ANP	Bayesi BWM
Valdkond	Otsustamine	Otsustamine	Otsustamine	Otsustamine
Perekond	MCDM	MCDM	MCDM	MCDM
Tekkeaasta	2001	1980	1996	2020
Looja	Greco, S., Matarazzo, B., Słowiński, R.	Saaty, T. L.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
Tüüp	Rough outranking/ranking — Rough number (lower approximation L, upper approximation U)	Pairwise comparison (eigenvalue)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Algallikas	Greco, S., Matarazzo, B., Słowiński, R. (2001). Rough sets theory for multicriteria decision analysis. European Journal of Operational Research	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
Rööpnimetused	—	—	—	—
Seotud	8	8	8	8
Kokkuvõte	ROUGH-DRSA (Rough-DRSA — Rough extension of DRSA) is a ranking multi-criteria decision-making (MCDM) method introduced by Greco, S., Matarazzo, B., Słowiński, R. in 2001. 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.