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Decision Trees for Dynamic Decision Making And System Dynamics Modelling Calibration and Expansion

dc.contributor.advisorOsgood, Nathanielen_US
dc.contributor.advisorGrassmann, Winfried K.en_US
dc.contributor.committeeMemberNeufeld, Ericen_US
dc.contributor.committeeMemberVassileva, Youlita I.en_US
dc.contributor.committeeMemberWaldner, Cherylen_US
dc.creatorAn, Wenyien_US
dc.date.accessioned2014-09-12T12:00:12Z
dc.date.available2014-09-12T12:00:12Z
dc.date.created2014-06en_US
dc.date.issued2014-09-11en_US
dc.date.submittedJune 2014en_US
dc.description.abstractMany practical problems raise the challenge of making decisions over time in the presence of both dynamic complexity and pronounced uncertainty regarding evolution of important factors that affect the dynamics of the system. In this thesis, we provide an end-to-end implementation of an easy-to-use system to confront such challenges. This system gives policy makers a new approach to take complementary advantage of decision analysis techniques and System Dynamics by allowing easy creation, evaluation, and interactive exploration of hybrid models. As an important application of this methodology, we extended a System Dynamic model within the context of West Nile virus transmission in Saskatchewan.en_US
dc.identifier.urihttp://hdl.handle.net/10388/ETD-2014-06-1649en_US
dc.language.isoengen_US
dc.subjectComputer,Decision Tree, System Dynamics,Agent-based modelingen_US
dc.titleDecision Trees for Dynamic Decision Making And System Dynamics Modelling Calibration and Expansionen_US
dc.type.genreThesisen_US
dc.type.materialtexten_US
thesis.degree.departmentComputer Scienceen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorUniversity of Saskatchewanen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Science (M.Sc.)en_US

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