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अंतराल-मान अंतर्ज्ञान फजी कोपरास (दवुदाबादी-मौसवी-मोहघेघी-वाहदानी 2019)×विश्लेषणात्मक पदानुक्रम प्रक्रिया×सर्वश्रेष्ठ-निकृष्टतम विधि (Best-Worst Method)×बायेसियन BWM×
क्षेत्रनिर्णयननिर्णयननिर्णयननिर्णयन
परिवारMCDMMCDMMCDMMCDM
उद्भव वर्ष1989198020152020
प्रवर्तकAtanassov, K. T., Gargov, G.Saaty, T. L.Rezaei, J.Mohammadi, M., Rezaei, J.
प्रकारCompound-proportional ranking MCDM under Interval-Valued Intuitionistic Fuzzy uncertainty (IVIFN: ⟨[μ⁻,μ⁺],[ν⁻,ν⁺]⟩; μ⁺+ν⁺ ≤ 1) — Xu normalization + IVIF profit/cost sums + Garg score (GIS) compound Q_i + utility degree D_i (%)Pairwise comparison (eigenvalue)Pairwise comparison (best-to-others + others-to-worst vectors), LPHierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
मौलिक स्रोतAtanassov, K. T., Gargov, G. (1989). Interval valued intuitionistic fuzzy sets. Fuzzy Sets and Systems DOI ↗Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega DOI ↗Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
उपनाम
संबंधित8888
सारांशIVIF-COPRAS (Interval-Valued Intuitionistic Fuzzy COPRAS (Davoudabadi-Mousavi-Mohagheghi-Vahdani 2019)) is a ranking multi-criteria decision-making (MCDM) method introduced by Atanassov, K. T., Gargov, G. in 1989. 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 (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.
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ScholarGateविधियों की तुलना करें: IVIF-COPRAS · AHP · BWM · BWM-BAYESIAN. 2026-06-20 को यहाँ से प्राप्त https://scholargate.app/hi/compare