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Player performance evaluation in rugby using Stochastic Multi-Criteria Acceptability Analysis with simplified uncertainty formats

Includes bibliographical references.

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Bibliographic Details
Main Author: Calder, Jon Matthew
Other Authors: Durbach, Ian
Format: Thesis
Language:English
Published: Department of Statistical Sciences 2014
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access_status_str Open Access
author Calder, Jon Matthew
author2 Durbach, Ian
author_browse Calder, Jon Matthew
Durbach, Ian
author_facet Durbach, Ian
Calder, Jon Matthew
author_sort Calder, Jon Matthew
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/9797
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:43:12.069Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Statistical Sciences
publisherStr Department of Statistical Sciences
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/9797 Player performance evaluation in rugby using Stochastic Multi-Criteria Acceptability Analysis with simplified uncertainty formats Calder, Jon Matthew Durbach, Ian Includes bibliographical references. This dissertation considers problem contexts in which decision makers are unable or unwilling to assess trade-off information precisely. The primary aim is to investigate the use of Stochastic Multi-criteria Acceptability Analysis (SMAA) with simplified representations of uncertainty as a decision support tool for prescriptive modelling in 'low involvement' contexts such as these. A simulation experiment is used to assess (a) how closely a rank order of alternatives based on partial information and SMAA can approximate results obtained using full-information multi-attribute utility theory (MAUT), (b) whether a number of 'simplified' SMAA models which make use of summarised measures of uncertainty instead of a full probability distribution might also be suitable in certain contexts, and (c) which characteristics of the decision problem influence the accuracy of this approximation. 2014-11-28T09:50:07Z 2014-11-28T09:50:07Z 2013 Master Thesis Masters MSc http://hdl.handle.net/11427/9797 eng application/pdf Department of Statistical Sciences Faculty of Science University of Cape Town
spellingShingle Calder, Jon Matthew
Player performance evaluation in rugby using Stochastic Multi-Criteria Acceptability Analysis with simplified uncertainty formats
thesis_degree_str Master's
title Player performance evaluation in rugby using Stochastic Multi-Criteria Acceptability Analysis with simplified uncertainty formats
title_full Player performance evaluation in rugby using Stochastic Multi-Criteria Acceptability Analysis with simplified uncertainty formats
title_fullStr Player performance evaluation in rugby using Stochastic Multi-Criteria Acceptability Analysis with simplified uncertainty formats
title_full_unstemmed Player performance evaluation in rugby using Stochastic Multi-Criteria Acceptability Analysis with simplified uncertainty formats
title_short Player performance evaluation in rugby using Stochastic Multi-Criteria Acceptability Analysis with simplified uncertainty formats
title_sort player performance evaluation in rugby using stochastic multi criteria acceptability analysis with simplified uncertainty formats
url http://hdl.handle.net/11427/9797
work_keys_str_mv AT calderjonmatthew playerperformanceevaluationinrugbyusingstochasticmulticriteriaacceptabilityanalysiswithsimplifieduncertaintyformats