Solving discrete multiattribute problems under risk based on an approximation

We consider the multiattribute decision making problem under risk with imprecise information on the decision maker's preferences, modelled by means of a vector utility function. We propose an interactive decision aid approach, which uses an idea of approximation to the utility efficient set and...

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Bibliographic Details
Published inJournal of numerical analysis and approximation theory Vol. 32; no. 2
Main Authors Sixto Ríos-Insua, Alfonso Mateos, Antonio Jiménez
Format Journal Article
LanguageEnglish
Published Publishing House of the Romanian Academy 01.08.2003
Subjects
approximation
decision analysis
efficient set
multiattribute utility
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Summary:We consider the multiattribute decision making problem under risk with imprecise information on the decision maker's preferences, modelled by means of a vector utility function. We propose an interactive decision aid approach, which uses an idea of approximation to the utility efficient set and qualitative comparisons for the decision maker, to overcome the possible difficulty in generate it. An application to university selection illustrates the procedure.
ISSN:2457-6794
2501-059X