Abstract
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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Bouchon-Meunier, B., Marsala, C. (1997). Fuzzy Decision Trees and Databases. In: Andreasen, T., Christiansen, H., Larsen, H.L. (eds) Flexible Query Answering Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-6075-3_14
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DOI: https://doi.org/10.1007/978-1-4615-6075-3_14
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