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Multi-Attribute Utility Decomposition

Success Likelihood Index Method/Multi-Attribute Utility Decomposition (SUM-MAUD)... [Pg.178]

SLIM Success likelihood index method. It is an HRA quantification technique by which HEPs are quantified. For taking actions, this may be utilized in conjunction with multi-attribute utility decomposition (MAUD), discussed later. Here, SLI (Ref Clause 6.2.2) is calibrated. It should actually be considered under expert judgment type. It has wider application as it is somewhat generic. [Pg.378]

SLIM-MAUD SLIM (as well as FLIM) method requires expert judgment and when they are used with an interactive computer program called multi-attribute utility decomposition (MAUD). It is called SLIM-MAUD. [Pg.378]

See other pages where Multi-Attribute Utility Decomposition is mentioned: [Pg.214]    [Pg.214]    [Pg.66]   
See also in sourсe #XX -- [ Pg.378 ]



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