Bandingkan kaedah

	Pengaturcaraan Kompromi	Proses Hierarki Analitik	Proses Rangkaian Analitik (AHP dengan maklum balas dan kebergantungan)	Bayesian BWM
Bidang	Pembuatan Keputusan	Pembuatan Keputusan	Pembuatan Keputusan	Pembuatan Keputusan
Keluarga	MCDM	MCDM	MCDM	MCDM
Tahun asal	1973	1980	1996	2020
Pengasas	Zeleny, M.	Saaty, T. L.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
Jenis	Distance-based — Lp metric to Pareto-optimal ideal (parametric p)	Pairwise comparison (eigenvalue)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Sumber perintis	Zeleny, M. (1973). Compromise programming. In: Multiple Criteria Decision Making (Cochrane & Zeleny, eds.), Univ. of South Carolina Press	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
Alias	—	—	—	—
Berkaitan	8	8	8	8
Ringkasan	COMPROMISE-PROGRAMMING (Compromise Programming — Lp-metric distance to ideal solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Zeleny, M. in 1973. 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.