Bandingkan metode

	Ekstensi neutrosofik dari PROMETHEE	Proses Jaringan Analitik (AHP dengan umpan balik dan saling ketergantungan)	Metode Terbaik-Terburuk	BWM Bayesian
Bidang	Pengambilan Keputusan	Pengambilan Keputusan	Pengambilan Keputusan	Pengambilan Keputusan
Keluarga	MCDM	MCDM	MCDM	MCDM
Tahun asal	2018	1996	2015	2020
Pencetus	Abdel-Basset, M., Mohamed, M., Smarandache, F.	Saaty, T. L.	Rezaei, J.	Mohammadi, M., Rezaei, J.
Tipe	Neutrosophic outranking/ranking — Single-Valued Neutrosophic Set (SVNS: T, I, F; T,I,F ∈ [0,1], T+I+F ≤ 3)	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
Sumber perintis	Xu, D., Wei, X., Ding, H., Bin, H. (2020). A New Method Based on PROMETHEE and TODIM for Multi-Attribute Decision-Making with Single-Valued Neutrosophic Sets. Mathematics	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
Alias	—	—	—	—
Terkait	8	8	8	8
Ringkasan	N-PROMETHEE (Neutrosophic extension of PROMETHEE) is a outranking multi-criteria decision-making (MCDM) method introduced by Abdel-Basset, M., Mohamed, M., Smarandache, F. in 2018. 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.