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Using imprecise estimates for weights

Jessop, A.

Using imprecise estimates for weights Thumbnail


A. Jessop


In multi-attribute decision problems the decision to differentiate between alternatives will be affected by the precision with which weights are specified. Specifications are imprecise because of the uncertainty characteristic of the judgements on which weights are based. Uncertainties are from two sources, the accuracy with which judgements are articulated and the inconsistency when multiple judgements are made and must be reconciled. These uncertainties are modelled using probabilistic weight estimates integrated by the Dirichlet distribution. This ensures the consistency of the estimates and leads to the calculation of significance of the differences between alternatives. A simple plot of these significant differences helps in the final decision whether this is selection or ranking. The method is used to find weight estimates in the presence of both types of uncertainty acting separately and together.


Jessop, A. (2011). Using imprecise estimates for weights. Journal of the Operational Research Society, 62(6), 1048-1055.

Journal Article Type Article
Publication Date Jun 1, 2011
Deposit Date Mar 29, 2011
Publicly Available Date Nov 1, 2011
Journal Journal of the Operational Research Society
Print ISSN 0160-5682
Electronic ISSN 1476-9360
Publisher Taylor and Francis Group
Peer Reviewed Peer Reviewed
Volume 62
Issue 6
Pages 1048-1055
Keywords Multi-criteria, Weights, Probability, Dirichlet.


Accepted Journal Article (392 Kb)

Copyright Statement
This is a post-peer-review pre-copyedit version of an article published in Journal of the Operational Research Society. The definitive publisher-authenticated version Jessop, A. (2011) 'Using imprecise estimates for weights.', Journal of the Operational Research Society., 62 (6). pp. 1048-1055 is available online at:

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