dc.contributor.author Kutnar, Petr dc.date.accessioned 2017-03-06T09:46:58Z dc.date.available 2017-03-06T09:46:58Z dc.date.issued 2016-12-09 cs dc.identifier.citation Workshop specifického výzkumu 2016. 2016, s. 50-53. ISBN 978-80-214-5472-9. cs dc.identifier.isbn 978-80-214-5472-9 dc.identifier.uri http://hdl.handle.net/11012/63858 dc.description.abstract Financial markets and especially their movements are very difficult to predict. For this reason, it cannot be clearly concluded what market will do. We cannot use basic logical operators such as if A happens, then comes B. Since we cannot use simple decision rules and we work in high uncertainty we cannot easily build classical mathematical model because of uncertainty of each and every result. However to analyze this type of data we can used Rough logic which is design to work with uncertainty. The aim of this thesis is use of Rough logic to create a mathematical model, which will be able to some extent to understand and eventually predict individual market movements. Market uncertainty Purpose of the article: Using Rough logic for predicting price movements. Scientific aim: Rough Set. Conclusions: Methodology for using Rough set in financial markets. en dc.format text cs dc.format.extent 50-53 cs dc.format.mimetype application/pdf en dc.language.iso en cs dc.publisher Vysoké učení technické v Brně,Fakulta podnikatelská cs dc.relation.ispartof Workshop specifického výzkumu 2016 cs dc.rights © Vysoké učení technické v Brně,Fakulta podnikatelská cs dc.subject Rough en dc.subject Logic en dc.subject Financial Market en dc.subject Market Price en dc.subject Financial Market Prediction en dc.subject Statistic en dc.title Using Rough logic for predicting price movements on financial markets en eprints.affiliatedInstitution.department Fakulta podnikatelská cs but.event.date 9.12.2016 cs but.event.title Workshop specifického výzkumu 2016 cs dc.rights.access openAccess en dc.type.driver conferenceObject en dc.type.status Peer-reviewed en dc.type.version publishedVersion en
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