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Title: | Using Information Theoretical Approach for Construction of Fuzzy Decision Trees |
Authors: | Levashenko, V. Morozevich, A. Zaitceva, E. Kovalik, S. |
Keywords: | теоретико-информационный подход;теория информации;системы поддержки принятия решений;нейронные сети;information theory;decision support systems;neural networks |
Issue Date: | 2001 |
Publisher: | Белорусский государственный экономический университет |
Language: | Английский |
Type: | Article |
Citation: | 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. |
Abstract: | 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: | http://edoc.bseu.by:8080/handle/edoc/84988 |
ISBN: | 985-426-692-3 |
Appears in Collections: | Информационные сети, системы и технологии = Information Networks, Systems and Technologies |
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Levashenko_164_170.pdf | 442.71 kB | Adobe PDF | View/Open |
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