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Includes bibliographical references.
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| Format: | Thesis |
| Language: | English |
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Department of Statistical Sciences
2014
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| _version_ | 1867613881834143744 |
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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 |