Construction of Fuzzy Classes by Fuzzy Partitioning
Christophe Marsala, Bernadette Bouchon‐Meunier · Flexible Query Answering Systems · 2001
In this paper, we propose a new algorithm to infer automatically a fuzzy partition for the universe of a set of fuzzy values, when each of these values is associated with a class. This algorithm can be used in a fuzzy decision tree system to extract knowledge from a database and to construct a set of fuzzy rules. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.