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

Troffaes, Matthias C. M. and Sahlin, Ullrika (2017) 'Imprecise swing weighting for multi-attribute utility elicitation based on partial preferences.', in Proceedings of the Tenth International Symposium on Imprecise Probability : Theories and Applications, 10-14 July 2017, Lugano (Switzerland). , pp. 333-345. Proceedings of Machine Learning Research. (62).

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.

Item Type:Book chapter
Full text:(AM) Accepted Manuscript
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Status:Peer-reviewed
Publisher Web site:http://proceedings.mlr.press/v62/troffaes17b.html
Date accepted:17 April 2017
Date deposited:15 May 2017
Date of first online publication:20 June 2017
Date first made open access:No date available

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