Salīdzināt metodes

	Mērķprogramēšana	Analytic Network Process (ANP ar atgriezenisko saiti un savstarpēju atkarību)	Labākā-Sliktākā metode	Bayesian BWM
Nozare	Lēmumu pieņemšana	Lēmumu pieņemšana	Lēmumu pieņemšana	Lēmumu pieņemšana
Saime	MCDM	MCDM	MCDM	MCDM
Izcelsmes gads	1955	1996	2015	2020
Autors	Charnes, A., Cooper, W. W.	Saaty, T. L.	Rezaei, J.	Mohammadi, M., Rezaei, J.
Tips	Multi-objective optimisation — weighted/lexicographic goal deviation minimisation	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
Pirmavots	Charnes, A., Cooper, W. W. (1955). Optimal estimation of executive compensation by linear programming. Management Science	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
Citi nosaukumi	—	—	—	—
Saistītās	8	8	8	8
Kopsavilkums	GOAL-PROGRAMMING (Goal Programming — Minimise deviations from multiple aspiration levels) is a ranking multi-criteria decision-making (MCDM) method introduced by Charnes, A., Cooper, W. W. in 1955. 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.