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वैकल्पिक अपूर्ण भार सूचना के साथ संकोची फजी TOPSIS (Xu-Zhang 2013 KBS)×बायेसियन BWM×
क्षेत्रनिर्णयननिर्णयन
परिवारMCDMMCDM
उद्भव वर्ष20132020
प्रवर्तकXu, Z., Zhang, X.Mohammadi, M., Rezaei, J.
प्रकारDistance-to-ideal ranking (Hwang-Yoon 1981) extended to Hesitant Fuzzy Elements (HFE ⊂ [0,1]) via the hesitant normalised Euclidean distance d_1 (Xu-Xia 2011b); supports three weight-information modes: fully specified, completely unknown (Eq.(22) maximizing deviation closed-form), and partly known (Model M-2 linear programme).Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
मौलिक स्रोतXu, Z., Zhang, X. (2013). Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information. Knowledge-Based Systems DOI ↗Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
उपनाम
संबंधित88
सारांशHF-TOPSIS (Hesitant Fuzzy TOPSIS with optional incomplete weight information (Xu-Zhang 2013 KBS)) is a ranking multi-criteria decision-making (MCDM) method introduced by Xu, Z., Zhang, X. in 2013. 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: HF-TOPSIS · BWM-BAYESIAN. 2026-06-18 को यहाँ से प्राप्त https://scholargate.app/hi/compare