Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm

• Published in: 2009 Ninth International Conference on Intelligent Systems Design and Applications pp. 109 - 114
• Main Authors: Gacto, M.J., Alcala, R., Herrera, F.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.11.2009
• Subjects: Application software; Artificial intelligence; complexity reduction; Computer science; Convergence; Evolutionary computation; Explosions; Fuzzy systems; High-dimensional regression problems; Intelligent systems; Knowledge based systems; Large-scale systems; linguistic fuzzy modeling; multi-objective genetic fuzzy systems

Linguistic fuzzy modeling in high dimensional regression problems is a challenging topic since conventional linguistic fuzzy rule-based systems suffer from exponential rule explosion when the number of variables and/or data examples becomes high. A good way to face this problem is by searching for a...