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HF-TOPSIS×Аналитический иерархический процесс×Метод Best-Worst×Байесовский BWM×
ОбластьПринятие решенийПринятие решенийПринятие решенийПринятие решений
СемействоMCDMMCDMMCDMMCDM
Год появления2013198020152020
Автор методаXu, Z., Zhang, X.Saaty, T. L.Rezaei, J.Mohammadi, M., Rezaei, J.
ТипDistance-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).Pairwise comparison (eigenvalue)Pairwise comparison (best-to-others + others-to-worst vectors), LPHierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Основополагающий источникXu, Z., Zhang, X. (2013). Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information. Knowledge-Based 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 ↗
Другие названия
Связанные8888
СводкаHF-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.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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ScholarGateСравнение методов: HF-TOPSIS · AHP · BWM · BWM-BAYESIAN. Получено 2026-06-19 из https://scholargate.app/ru/compare