Solving discrete multiattribute problems under risk based on an approximation
DOI:
https://doi.org/10.33993/jnaat322-750Keywords:
decision analysis, multiattribute utility, efficient set, approximationAbstract
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.Downloads
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