Multi‐attribute utility theory
Alessio Ishizaka, Philippe Nemery · 2013
This chapter explains the theory and practical uses of the multi-attribute utility theory (MAUT) method using a case study. It describes how to use RightChoice, a software package that helps to structure decision problems and calculate scores based on the MAUT method. The chapter discusses the methodological background of MAUT. As the MAUT method requires the decision maker to specify lots of input parameters, some ‘elicitation’ methods are presented. The utilities additives (UTA) , UTAGMS and generalized regression with intensities of preference (GRIP) elicitation methods help to infer preference parameters from a sample ranking given by the decision maker. The chapter provides a brief description of the UTA+ and VisualUTA software. Controlled Vocabulary Terms additive model; VisualUTA software