Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/77171
Authors: 
Steuer, Detlef
Year of Publication: 
1999
Series/Report no.: 
Technical Report, SFB 475: Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 1999,20
Abstract: 
The basic ideas of Desirability functions and indices are introduced and compared to other methods of multivariate optimisation. It is shown that gradient based techniques are not in general appropriate to perform the numerical optimisation for Desirability indices. The problems are shown for direct modelling of Desirability indices. An example is given to illustrate the sensitivity of estimated optimum factor settings to modelling errors for individual targets.
Subjects: 
MCO
MCD
MCDA
Desirability Function
Desirability Index
dimension reduction
numerical optimisation
Document Type: 
Working Paper

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