Computer-based preference models for generic multidimensional problem sets

Alternative actions or objects can be characterized by differences among defining attributes or dimensions. Making choices among these alternatives is often a complex and difficult task, particularly when the number of alternatives or defining attributes is large or the time to decide is limited. This paper describes two programs that allow users to define a multidimensional problem domain and derive a multiplicative utility function that quantitatively describes their judgment policy within that domain. It also discusses potential applications for the derived preference models.