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Chapitre D'ouvrage Année : 1997

Fuzzy Decision Trees and Databases

Résumé

Inductive learning is very well-adapted to the extraction of knowledge from a database. It can provide a summarization of the information contained in a database or help answering queries regarding a given attribute. In this paper, tools from fuzzy logic are used in inductive learning to take into account numerical-symbolic values and imprecision in knowledge. A method of construction and a method of utilization of fuzzy decision trees are proposed.
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Dates et versions

hal-01649106 , version 1 (27-11-2017)

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Bernadette Bouchon-Meunier, Christophe Marsala. Fuzzy Decision Trees and Databases. Flexible Query-Answering Systems, Kluwer, pp.277-288, 1997, ⟨10.1007/978-1-4615-6075-3_14⟩. ⟨hal-01649106⟩
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