เปรียบเทียบวิธี

	Grey-EDAS	กระบวนการวิเคราะห์เครือข่าย (Analytic Network Process - ANP)	ระเบียบวิธีดีที่สุด-แย่ที่สุด	Bayesian BWM
สาขาวิชา	การตัดสินใจ	การตัดสินใจ	การตัดสินใจ	การตัดสินใจ
ตระกูล	MCDM	MCDM	MCDM	MCDM
ปีกำเนิด	2017	1996	2015	2020
ผู้ริเริ่ม	Stanujkic, D., Zavadskas, E. K., Keshavarz Ghorabaee, M., Turskis, Z.	Saaty, T. L.	Rezaei, J.	Mohammadi, M., Rezaei, J.
ประเภท	Grey outranking/ranking — Grey Interval Number (GIN: [x̲, x̄])	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
แหล่งต้นตำรับ	Stanujkic, D., Zavadskas, E. K., Keshavarz Ghorabaee, M., Turskis, Z. (2017). An Extension of the EDAS Method Based on the Use of Interval Grey Numbers. Studies in Informatics and Control	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
ชื่อเรียกอื่น	—	—	—	—
ที่เกี่ยวข้อง	8	8	8	8
สรุป	GREY-EDAS (Grey-EDAS — Grey extension of EDAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Stanujkic, D., Zavadskas, E. K., Keshavarz Ghorabaee, M., Turskis, Z. in 2017. 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.