Using Information Theoretical Approach for Construction of Fuzzy Decision Trees

Levashenko, V.; Morozevich, A.; Zaitceva, E.; Kovalik, S.

Veuillez utiliser cette adresse pour citer ce document : http://edoc.bseu.by:8080/handle/edoc/84988

Titre:	Using Information Theoretical Approach for Construction of Fuzzy Decision Trees
Auteur(s):	Levashenko, V. Morozevich, A. Zaitceva, E. Kovalik, S.
Mots-clés:	теоретико-информационный подход;теория информации;системы поддержки принятия решений;нейронные сети;information theory;decision support systems;neural networks
Date de publication:	2001
Editeur:	Белорусский государственный экономический университет
Language:	Английский
Type:	Article
Référence bibliographique:	Levashenko, 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.
Résumé:	The 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.
URI/URL:	http://edoc.bseu.by:8080/handle/edoc/84988
ISBN:	985-426-692-3
Collection(s) :	Информационные сети, системы и технологии = Information Networks, Systems and Technologies

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