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Almost Pareto decision sets in imprecise utility hierarchies

Lookup NU author(s): Dr Malcolm Farrow

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Abstract

We develop methods for analysing decision problems based on multi-attribute utility hierarchies, structured by mutual utility independence, which are not precisely specified due to unwillingness or inability of an individual or group to agree on precise values for the trade-offs between the various attributes. Instead, our analysis is based on whatever limited collection of preferences we may assert between attribute collections. Properties arising from mutual utility independence can be used to identify the class of Pareto optimal decisions. In this paper we show how to reduce the class further by combining rules which are almost equivalent and introduce general principles appropriate to selecting decisions in an imprecise hierarchy. The approach is illustrated using, as an example, the design of a university course module.


Publication metadata

Author(s): Farrow M, Goldstein M

Editor(s): P Coolen-Schrijner; F Coolen; M Troffaes; T Augustin; S Gupta

Publication type: Book Chapter

Publication status: Published

Book Title: Imprecision in Statistical Theory and Practice

Year: 2009

Pages: 153-171

Publisher: Grace Scientific Publishing

Place Published: Greensboro, USA

Library holdings: Search Newcastle University Library for this item

ISBN: 9780982399804


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