قارن الطرق

	مقاربة مبتكرة لبيئات التقييم واتخاذ القرار غير الدقيقة	عملية التسلسل الهرمي التحليلي	عملية الشبكة التحليلية (AHP مع التغذية الراجعة والاعتماديات المتبادلة)	بيزية BWM
المجال	اتخاذ القرار	اتخاذ القرار	اتخاذ القرار	اتخاذ القرار
العائلة	MCDM	MCDM	MCDM	MCDM
سنة النشأة	1995	1980	1996	2020
صاحب الطريقة	Munda, G.	Saaty, T. L.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
النوع	Fuzzy pairwise equity/inequality comparison (semantic distance)	Pairwise comparison (eigenvalue)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
المصدر التأسيسي	Munda, G. (1995). Multicriteria Evaluation in a Fuzzy Environment: Theory and Applications in Ecological Economics. Physica-Verlag, Heidelberg	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
الأسماء البديلة	—	—	—	—
ذات صلة	8	8	8	8
الملخص	NAIADE (Novel Approach to Imprecise Assessment and Decision Environments) is a ranking multi-criteria decision-making (MCDM) method introduced by Munda, G. in 1995. 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.