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

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dc.contributor.advisorDurbach, Ianen_ZA
dc.contributor.authorCalder, Jon Matthewen_ZA
dc.date.accessioned2014-11-28T09:50:07Z
dc.date.available2014-11-28T09:50:07Z
dc.date.issued2013en_ZA
dc.descriptionIncludes bibliographical references.en_ZA
dc.description.abstractThis 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.en_ZA
dc.identifier.apacitationCalder, J. M. (2013). <i>Player performance evaluation in rugby using Stochastic Multi-Criteria Acceptability Analysis with simplified uncertainty formats</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Statistical Sciences. Retrieved from http://hdl.handle.net/11427/9797en_ZA
dc.identifier.chicagocitationCalder, Jon Matthew. <i>"Player performance evaluation in rugby using Stochastic Multi-Criteria Acceptability Analysis with simplified uncertainty formats."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 2013. http://hdl.handle.net/11427/9797en_ZA
dc.identifier.citationCalder, J. 2013. Player performance evaluation in rugby using Stochastic Multi-Criteria Acceptability Analysis with simplified uncertainty formats. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Calder, Jon Matthew AB - 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. DA - 2013 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2013 T1 - Player performance evaluation in rugby using Stochastic Multi-Criteria Acceptability Analysis with simplified uncertainty formats TI - Player performance evaluation in rugby using Stochastic Multi-Criteria Acceptability Analysis with simplified uncertainty formats UR - http://hdl.handle.net/11427/9797 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/9797
dc.identifier.vancouvercitationCalder JM. Player performance evaluation in rugby using Stochastic Multi-Criteria Acceptability Analysis with simplified uncertainty formats. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 2013 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/9797en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Statistical Sciencesen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.titlePlayer performance evaluation in rugby using Stochastic Multi-Criteria Acceptability Analysis with simplified uncertainty formatsen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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