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Lookup NU author(s): Dr Malcolm Farrow
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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.
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