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Please use this identifier to cite or link to this item: http://edoc.bseu.by:8080/handle/edoc/84988
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dc.contributor.authorLevashenko, V.-
dc.contributor.authorMorozevich, A.-
dc.contributor.authorZaitceva, E.-
dc.contributor.authorKovalik, S.-
dc.date.accessioned2020-11-09T11:03:53Z-
dc.date.available2020-11-09T11:03:53Z-
dc.date.issued2001-
dc.identifier.citationLevashenko, V. Using Information Theoretical Approach for Construction of Fuzzy Decision Trees / V. Levashenko [и др.] // Информационные сети, системы и технологии = Information Networks, Systems and Technologies : в 3 кн. Кн.1 : Труды международной конференции ICINASTe'2001, Минск, 2-4 октября 2001 г. : на англ. яз. / Ред.: А.Н. Морозевич [и др.]. - Мн. : БГЭУ, 2001. - С. 164-170.ru_RU
dc.identifier.isbn985-426-692-3-
dc.identifier.urihttp://edoc.bseu.by:8080/handle/edoc/84988-
dc.description.abstractThe construction of fuzzy decision trees is an important way of acquiring imprecise knowledge. Fuzzy ID3 and its variants are efficient methods of making fuzzy decision trees from a group of training examples. This algorithm is used for solving a number of practical problems in the different fields of human activities. The development of this algorithm is introduced in this paper. The new class of properties for such algorithms is developed with this algorithm. The experimental example demonstrates our idea.ru_RU
dc.languageАнглийский-
dc.language.isoenru_RU
dc.publisherБелорусский государственный экономический университетru_RU
dc.subjectтеоретико-информационный подходru_RU
dc.subjectтеория информацииru_RU
dc.subjectсистемы поддержки принятия решенийru_RU
dc.subjectнейронные сетиru_RU
dc.subjectinformation theoryru_RU
dc.subjectdecision support systemsru_RU
dc.subjectneural networksru_RU
dc.titleUsing Information Theoretical Approach for Construction of Fuzzy Decision Treesru_RU
dc.typeArticleru_RU
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