Discovering hierarchical decision rules with evolutive algorithms in supervised learning

This paper describes a new approach, HIDER (HIerarchical DEcision Rules), for learning rules in continuous and discrete domains based on evolutive algorithms. The algorithm produces a hierarchical set of rules, that is, the rules must be applied in a speci

• Type: Journal
• Year: 2000
• Where: IJCSS
• Authors: José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz, Miguel Toro
• Keywords: Discrete Domains, Evolutive Algorithm, HIerarchical DEcision Rules, IJCSS 2000