A Fuzzy Beam-Search Rule Induction Algorithm
Cristina S. Fertig, Alex Alves Freitas, Lúcia Valéria Ramos de Arruda, Celso A. A. Kaestner · Lecture notes in computer science · 1999
This paper proposes a fuzzy beam search rule induction algorithm for the classification task. The use of fuzzy logic and fuzzy sets not only provides us with a powerful, flexible approach to cope with uncertainty, but also allows us to express the discovered rules in a representation more intuitive and comprehensible for the user, by using linguistic terms (such as low, medium, high) rather than continuous, numeric values in rule conditions. The proposed algorithm is evaluated in two public domain data sets. 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.