Salīdzināt metodes

	Interaktīva un daudzkritēriju lēmumu pieņemšana	Analytic Hierarchy Process	Analytic Network Process (ANP ar atgriezenisko saiti un savstarpēju atkarību)	Bayesian BWM
Nozare	Lēmumu pieņemšana	Lēmumu pieņemšana	Lēmumu pieņemšana	Lēmumu pieņemšana
Saime	MCDM	MCDM	MCDM	MCDM
Izcelsmes gads	1992	1980	1996	2020
Autors	Gomes, L. F. A. M., Lima, M. M. P. P.	Saaty, T. L.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
Tips	Prospect theory (loss aversion pairwise dominance)	Pairwise comparison (eigenvalue)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Pirmavots	Gomes, L. F. A. M., Lima, M. M. P. P. (1992). TODIM: Basics and application to multicriteria ranking of projects with environmental impacts. Foundations of Computing and Decision Sciences	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
Citi nosaukumi	—	—	—	—
Saistītās	8	8	8	8
Kopsavilkums	TODIM (TOmada de Decisão Interativa e Multicritério (Interactive and Multicriteria Decision Making)) is a ranking multi-criteria decision-making (MCDM) method introduced by Gomes, L. F. A. M., Lima, M. M. P. P. in 1992. 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.