Logo BSU

Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/158778
Full metadata record
DC FieldValueLanguage
dc.contributor.authorZaitseva, E.-
dc.contributor.authorLevashenko, V.-
dc.date.accessioned2016-10-18T11:58:06Z-
dc.date.available2016-10-18T11:58:06Z-
dc.date.issued2016-
dc.identifier.urihttp://elib.bsu.by/handle/123456789/158778-
dc.description.abstractData mining (DM) is a collection of algorithms that are used to find some novel, useful and interesting knowledge in databases. Some methods of these fields can be used to find hidden relation between data, what can be used to create models that predict some behavior or describe some common properties of analyzed objects. In this paper, we combine methods of DM with tools of reliability analysis to evaluate availability of investigated object. An important step in reliability evaluation of any object is selection of an appropriate mathematical representation. One of the possible mathematical representations is structure function that expresses dependency of system state on states of its components. In this paper, we propose a new method for construction of the structure function from uncertain or incomplete data. This method is developed based on application of Fuzzy Decision Tree.ru
dc.language.isoenru
dc.publisherMinsk: Publishing Center of BSUru
dc.subjectЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математикаru
dc.subjectЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатикаru
dc.subjectЭБ БГУ::ТЕХНИЧЕСКИЕ И ПРИКЛАДНЫЕ НАУКИ. ОТРАСЛИ ЭКОНОМИКИ::Медицина и здравоохранениеru
dc.titleApplication of Fuzzy Decision Trees in Construction of Mathematical Model for Reliability Analysis based on Uncertain Dataru
dc.typeArticleru
Appears in Collections:2016. PATTERN RECOGNITION AND INFORMATION PROCESSING (PRIP’2016)

Files in This Item:
File Description SizeFormat 
Zaitseva_Levashenko.pdf440,82 kBAdobe PDFView/Open
Show simple item record Google Scholar



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.