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dc.contributor.authorSteuer, Detlefde
dc.date.accessioned2004-12-06T18:40:28Z-
dc.date.available2004-12-06T18:40:28Z-
dc.date.issued1999de
dc.identifier.urihttp://hdl.handle.net/2003/4956-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-6653-
dc.description.abstractThe 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.en
dc.format.extent1856834 bytes-
dc.format.extent361024 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/postscript-
dc.language.isoende
dc.publisherUniversitätsbibliothek Dortmundde
dc.subjectdesirability functionde
dc.subjectdesirability indexen
dc.subjectdimension reductionen
dc.subjectMCDde
dc.subjectMCDAde
dc.subjectMCOde
dc.subjectnumerical optimisationen
dc.subject.ddc310de
dc.titleMulti-Criteria-Optimisation and Desirability Indicesen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access-
Appears in Collections:Sonderforschungsbereich (SFB) 475

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