BibTex format
@article{Holt:2013:10.1111/risa.12089,
author = {Holt, J and Leach, AW and Schrader, G and Petter, F and MacLeod, A and van, der Graag DJ and Baker, RHA and Mumford, JD},
doi = {10.1111/risa.12089},
journal = {Risk Analysis},
pages = {4--16},
title = {Eliciting and combining decision criteria using a limited palette of utility functions and uncertainty distributions: illustrated by application to Pest Risk Analysis},
url = {http://dx.doi.org/10.1111/risa.12089},
volume = {34},
year = {2013}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - Utility functions in the form of tables or matrices have often been used to combine discretely-rated decision-making criteria. Matrix elements are usually specified individually, so no one rule or principle can be easily stated for the utility function as a whole. A series of five matrices are presented which aggregate criteria two at a time using simple rules which express a varying degree of constraint of the lower rating over the higher. A further nine possible matrices were obtained by using a different rule either side of the main axis of the matrix to describe situations where the criteria have a differential influence on the outcome. Uncertainties in the criteria are represented by three alternative frequency distributions from which the assessors select the most appropriate. The output of the utility function is a distribution of rating frequencies that is dependent on the distributions of the input criteria. In Pest Risk Analysis (PRA), seven of these utility functions were required to mimic the logic by which assessors for the European and Mediterranean Plant Protection Organisation (EPPO) arrive at an overall rating of pest risk. The framework enables the development of PRAs which are consistent and easy to understand, criticise, compare and change. When tested in workshops, PRA practitioners thought that the approach accorded with both the logic and the level of resolution which they used in the risk assessments
AU - Holt,J
AU - Leach,AW
AU - Schrader,G
AU - Petter,F
AU - MacLeod,A
AU - van,der Graag DJ
AU - Baker,RHA
AU - Mumford,JD
DO - 10.1111/risa.12089
EP - 16
PY - 2013///
SN - 0272-4332
SP - 4
TI - Eliciting and combining decision criteria using a limited palette of utility functions and uncertainty distributions: illustrated by application to Pest Risk Analysis
T2 - Risk Analysis
UR - http://dx.doi.org/10.1111/risa.12089
UR - http://hdl.handle.net/10044/1/56038
VL - 34
ER -