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.