Title | A Multiobjective Genetic Learning Process for joint Feature Selection and Granularity and Contexts Learning in Fuzzy Rule-Based Classification Systems |
Publication Type | Book Chapter |
Year of Publication | 2003 |
Authors | Cordón, O., del Jesus M. J., Herrera F., Magdalena Luis, and Villar Pedro |
Editor | Casillas, Jorge, Cordón O., Herrera F., and Magdalena Luis |
Book Title | Interpretability Issues in Fuzzy Modeling |
Pagination | 79–99 |
Publisher | Springer Berlin Heidelberg |
City | Berlin, Heidelberg |
ISBN Number | 978-3-540-37057-4 |
Abstract | In this contribution, we propose a genetic process to select an appropiate set of features in a Fuzzy Rule-Based Classification System (FRBCS) and to automatically learn the whole Data Base definition using a non linear scaling function to adapt the fuzzy partition contexts and determining an appropiate granularity for each of them. An ad-hoc data covering learning method is considered to obtain the Rule Base. The method uses a multiobjective genetic algorithm in order to obtain a good trade-off between accuracy and interpretability. |
URL | https://doi.org/10.1007/978-3-540-37057-4_4 |
DOI | 10.1007/978-3-540-37057-4_4 |