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PAMSSEM I – Procédure d'Agrégation Multicritère×ANP×Paras-Huonoin -menetelmä×Bayesian BWM×
TieteenalaPäätöksentekoPäätöksentekoPäätöksentekoPäätöksenteko
MenetelmäperheMCDMMCDMMCDMMCDM
Syntyvuosi1996199620152020
KehittäjäMartel, J. M., Aouni, B.Saaty, T. L.Rezaei, J.Mohammadi, M., Rezaei, J.
TyyppiOutranking (partial ranking)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
AlkuperäislähdeMartel, J. M., Aouni, B. (1996). Incorporating the decision-maker's preferences in the goal-programming model with fuzzy goal values. Journal of the Operational Research Society link ↗Saaty, 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 ↗
Rinnakkaisnimet
Liittyvät8888
TiivistelmäPAMSSEM-I (PAMSSEM I — Procédure d'Agrégation Multicritère) is a outranking multi-criteria decision-making (MCDM) method introduced by Martel, J. M., Aouni, B. in 1996. 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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ScholarGateVertaile menetelmiä: PAMSSEM-I · ANP · BWM · BWM-BAYESIAN. Haettu 2026-06-19 osoitteesta https://scholargate.app/fi/compare