Fuzzy Inductive Learning:Principles and Applications in Data Mining

摘要

Inductive learning is an efficient way to construct knowl-edge from the observation of a set of cases.It rises from theparticular to the general and it provides a system with thecapacity of finding by itself any useful knowledge to han-die forthcoming cases.Given a set of observed cases (aso-called training set),an inductive learning algorithm isable to construct a more complex knowledge base.This pa-per focuses on one of the inductive learning algorithms thatare most intensively used in data mining.This algorithmenables the construction of a fuzzy decision tree which rep-resents a set of decision rules.