Almost Pareto decision sets in imprecise utility hierarchies

  1. Lookup NU author(s)
  2. Dr Malcolm Farrow
Author(s)Farrow M, Goldstein M
Editor(s)P Coolen-Schrijner; F Coolen; M Troffaes; T Augustin; S Gupta
Publication type Book Chapter
Book TitleImprecision in Statistical Theory and Practice
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
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.
PublisherGrace Scientific Publishing
Place PublishedGreensboro, USA
ActionsLink to this publication
Library holdingsSearch Newcastle University Library for this item