Linganisha mbinu

	TOPSIS-Sort	Mchakato wa Mlolongo wa Kihakiki	ANP	Njia ya BWM ya Kibayesiani
Nyanja	Ufanyaji Maamuzi	Ufanyaji Maamuzi	Ufanyaji Maamuzi	Ufanyaji Maamuzi
Familia	MCDM	MCDM	MCDM	MCDM
Mwaka wa asili	2016	1980	1996	2020
Mwanzilishi	Sabokbar, H. F., Hosseini, A., Banaitis, A., Banaitiene, N.	Saaty, T. L.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
Aina	TOPSIS-based sorting with boundary profiles	Pairwise comparison (eigenvalue)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Chanzo asilia	Sabokbar, H. F., Hosseini, A., Banaitis, A., Banaitiene, N. (2016). A novel sorting method TOPSIS-SORT: An application for Tehran environmental quality evaluation. E+M Ekonomie a Management	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
Majina mbadala	—	—	—	—
Zinazohusiana	8	8	8	8
Muhtasari	TOPSIS-SORT (TOPSIS-Sort — TOPSIS-based sorting of alternatives into ordered categories) is a sorting multi-criteria decision-making (MCDM) method introduced by Sabokbar, H. F., Hosseini, A., Banaitis, A., Banaitiene, N. in 2016. 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.