Jiménez, Fernando, Sánchez, Gracia, Sánchez, José F. and Alcaraz, José M. (2008). Fuzzy classification with multi-objective evolutionary algorithms. IN: Hybrid Artificial Intelligence Systems - Third International Workshop, HAIS 2008, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . ESP: UNSPECIFIED.
Abstract
In this work we propose, on the one hand, a multi-objective constrained optimization model to obtain fuzzy models for classification considering criteria of accuracy and interpretability. On the other hand, we propose an evolutionary multi-objective approach for fuzzy classification from data with real and discrete attributes. The multi-objective evolutionary approach has been evaluated by means of three different evolutionary schemes: Preselection with niches, NSGA-II and ENORA. The results have been compared in terms of effectiveness by means of statistical techniques using the well-known standard Iris data set.
| Publication DOI: | https://doi.org/10.1007/978-3-540-87656-4_90 |
|---|---|
| Event Title: | 3rd International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2008 |
| Event Type: | Other |
| Event Dates: | 2008-09-24 - 2008-09-26 |
| Uncontrolled Keywords: | Fuzzy classification,Multi-objective evolutionary algorithms,Theoretical Computer Science,General Computer Science |
| ISBN: | 3540876553, 9783540876557 |
| Last Modified: | 03 Feb 2026 08:01 |
| Date Deposited: | 02 Feb 2026 10:43 |
| Full Text Link: | |
| Related URLs: |
http://www.scop ... tnerID=8YFLogxK
(Scopus URL) |
PURE Output Type: | Conference contribution |
| Published Date: | 2008 |
| Authors: |
Jiménez, Fernando
Sánchez, Gracia Sánchez, José F. Alcaraz, José M. ( 
0000-0002-2654-7595)
|