Article ID: | iaor1995271 |
Country: | Switzerland |
Volume: | 52 |
Issue: | 1 |
Start Page Number: | 151 |
End Page Number: | 170 |
Publication Date: | Sep 1994 |
Journal: | Annals of Operations Research |
Authors: | Holz Hartmut, Mosler Karl |
Keywords: | artificial intelligence: expert systems |
Consider a finite set of alternatives under risk which have multiple attributes. MARPI is an interactive computer-based procedure to find an efficient choice in the sense of linear expected utility. The choice is based on incomplete information about the decision maker’s preferences which is elicited and processed in a sequential way. The information includes qualitative properties of the multivariate utility function such as monotonicity, risk aversion, and separability. Further, in case of an additively separable utility function, bounds on the scaling constants are elicited, and preferences (not necessarily indifferences) between sure amounts and lotteries are asked from the decision maker. The lotteries are Bernoulli lotteries generated by MARPI using special strategies. At every stage of the procedure the efficient set of alternatives is determined with respect to the information elicited so far. The procedure has been fully implemented on a PC. The paper exhibits the basic ideas of MARPI and some details of its implementation.