विधियों की तुलना करें

	TODIM का न्यूट्रोसोफ़िक विस्तार	विश्लेषणात्मक पदानुक्रम प्रक्रिया	बायेसियन BWM
क्षेत्र	निर्णयन	निर्णयन	निर्णयन
परिवार	MCDM	MCDM	MCDM
उद्भव वर्ष	2018	1980	2020
प्रवर्तक	Ji, P., Zhang, H. Y., Wang, J. Q.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
प्रकार	Neutrosophic outranking/ranking — Single-Valued Neutrosophic Set (SVNS: T, I, F; T,I,F ∈ [0,1], T+I+F ≤ 3)	Pairwise comparison (eigenvalue)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
मौलिक स्रोत	Ji, P., Zhang, H. Y., Wang, J. Q. (2018). A projection-based TODIM method under multi-valued neutrosophic environments and its application in personnel selection. Neural Computing and Applications	Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713	Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega
उपनाम	—	—	—
संबंधित	8	8	8
सारांश	N-TODIM (Neutrosophic extension of TODIM) is a ranking multi-criteria decision-making (MCDM) method introduced by Ji, P., Zhang, H. Y., Wang, J. Q. in 2018. 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.	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.