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

 

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dc.contributor.advisor Durbach, Ian en_ZA
dc.contributor.author Calder, Jon Matthew en_ZA
dc.date.accessioned 2014-11-28T09:50:07Z
dc.date.available 2014-11-28T09:50:07Z
dc.date.issued 2013 en_ZA
dc.identifier.citation Calder, 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.uri http://hdl.handle.net/11427/9797
dc.description Includes bibliographical references. en_ZA
dc.description.abstract 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. en_ZA
dc.language.iso eng en_ZA
dc.title Player performance evaluation in rugby using Stochastic Multi-Criteria Acceptability Analysis with simplified uncertainty formats en_ZA
dc.type Master Thesis
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Science en_ZA
dc.publisher.department Department of Statistical Sciences en_ZA
dc.type.qualificationlevel Masters
dc.type.qualificationname MSc en_ZA
uct.type.filetype Text
uct.type.filetype Image
dc.identifier.apacitation Calder, 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/11427/9797 en_ZA
dc.identifier.chicagocitation Calder, 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/11427/9797 en_ZA
dc.identifier.vancouvercitation Calder 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/11427/9797 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


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