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m-Polare Hesitante Fuzzy-Erweiterung von TOPSIS×Analytic Hierarchy Process×ANP×Best-Worst Method×Bayesian BWM×
FachgebietEntscheidungsfindungEntscheidungsfindungEntscheidungsfindungEntscheidungsfindungEntscheidungsfindung
FamilieMCDMMCDMMCDMMCDMMCDM
Entstehungsjahr20191980199620152020
UrheberAkram, M., Adeel, A., Alcantud, J.C.R.Saaty, T. L.Saaty, T. L.Rezaei, J.Mohammadi, M., Rezaei, J.
Typm-Polar Hesitant outranking/ranking — m-Polar Hesitant Fuzzy Element (mHFE: m-tuple of HFEs, ℏ_m: Z → P([0,1]^m))Pairwise comparison (eigenvalue)Weight_Subjective (pairwise comparison, supermatrix, network structure)Pairwise comparison (best-to-others + others-to-worst vectors), LPHierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Wegweisende QuelleAkram, M., Adeel, A., Alcantud, J.C.R. (2019). Multi-Criteria Group Decision-Making Using an m-Polar Hesitant Fuzzy TOPSIS Approach. Symmetry DOI ↗Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh ISBN: 0-9620317-9-8Rezaei, 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 ↗
Aliasnamen
Verwandt88888
ZusammenfassungMHF-TOPSIS (m-Polar Hesitant Fuzzy extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Akram, M., Adeel, A., Alcantud, J.C.R. in 2019. 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 (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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ScholarGateMethoden vergleichen: MHF-TOPSIS · AHP · ANP · BWM · BWM-BAYESIAN. Abgerufen am 2026-06-19 von https://scholargate.app/de/compare