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Multi-Attribute Utility Theory×Objectieve weging van criteria op basis van correlatie en standaarddeviatie×
VakgebiedBesluitvormingBesluitvorming
FamilieMCDMMCDM
Jaar van ontstaan19762010
GrondleggerKeeney, R. L., Raiffa, H.Wang, Y. M., Luo, Y.
TypeAdditive multi-attribute utility functionCorrelation-penalised standard-deviation weighting
Oorspronkelijke bronKeeney, R. L., Raiffa, H. (1976). Decisions with Multiple Objectives: Preferences and Value Trade-offs. Wiley ISBN: 978-0-521-43883-4Wang, Y. M., Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling DOI ↗
Aliassen
Verwant88
SamenvattingMAUT (Multi-Attribute Utility Theory) is a ranking multi-criteria decision-making (MCDM) method introduced by Keeney, R. L., Raiffa, H. in 1976. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CCSD (Criteria Correlation and Standard Deviation objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Wang, Y. M., Luo, Y. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateMethoden vergelijken: MAUT · CCSD. Geraadpleegd op 2026-06-17 via https://scholargate.app/nl/compare