Imprecise swing weighting for multi-attribute utility elicitation based on partial preferences

Troffaes, Matthias C.M.; Sahlin, Ullrika

Abstract

We describe a novel approach to multi-attribute utility elicitation which is both general enough to cover a wide range of problems, whilst at the same time simple enough to admit reasonably straightforward calculations. We allow both utilities and probabilities to be only partially specified, through bounding. We still assume marginal utilities to be precise. We derive necessary and sufficient conditions under which our elicitation procedure is consistent. As a special case, we obtain an imprecise generalization of the well known swing weighting method for eliciting multi-attribute utility functions. An example from ecological risk assessment demonstrates our method.

Citation

Troffaes, M. C., & Sahlin, U. (2017, July). Imprecise swing weighting for multi-attribute utility elicitation based on partial preferences. Presented at The Tenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA ’17), Lugano, Switzerland

• Presentation Conference Type: Conference Paper (published)
• Conference Name: The Tenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA ’17)
• Start Date: Jul 10, 2017
• End Date: Jul 14, 2017
• Acceptance Date: Apr 17, 2017
• Online Publication Date: Jun 20, 2017
• Publication Date: Jun 20, 2017
• Deposit Date: Mar 9, 2017
• Publicly Available Date: May 15, 2017
• Publisher: PMLR
• Pages: 333-345
• Series Title: Proceedings of Machine Learning Research
• Series Number: 62
• Series ISSN: 1938-7228
• Book Title: Proceedings of the Tenth International Symposium on Imprecise Probability : Theories and Applications, 10-14 July 2017, Lugano (Switzerland).
• Public URL: https://durham-repository.worktribe.com/output/1149037
• Publisher URL: http://proceedings.mlr.press/v62/troffaes17b.html