Value Function Methods: Indirect And Interactive

  • Valerie Belton
  • Theodor J. Stewart


In the previous chapter, we discussed different methods for assessing value functions expressed in the additive form:
$$V(a) = \sum\limits_{i = 1}^m {{w_i}{\upsilon _i}(a)}$$
on the assumption that the relevant preferential independence axioms hold. For the purposes of this chapter, it will be convenient to reformulate the above into the form:
$$V(a) = \sum\limits_{i = 1}^m {{u_i}(a)}$$
wheretz. u i (a) = w i v i (a). In other words, the partial value functions are now scaled in proportion to their importance weight.


Decision Maker Preference Information Attribute Vector Importance Weight Interactive Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science+Business Media Dordrecht 2002

Authors and Affiliations

  • Valerie Belton
    • 1
  • Theodor J. Stewart
    • 2
  1. 1.University of StrathclydeGlasgowScotland
  2. 2.University of Cape TownSouth Africa

Personalised recommendations