Cooperation between the Inference System and the Rule Base by Using Multiobjective Genetic Algorithms

Authors:
Antonio Márquez;Francisco Alfredo Márquez;Antonio Peregrín
Affiliations:
Information Technologies Department, University of Huelva, Huelva, Spain 21071;Information Technologies Department, University of Huelva, Huelva, Spain 21071;Information Technologies Department, University of Huelva, Huelva, Spain 21071
Venue:
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Year:
2008

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Abstract

This paper presents an evolutionary Multiobjective learning model achieving positive synergy between the Inference System and the Rule Base in order to obtain simpler and still accurate linguistic fuzzy models by learning fuzzy inference operators and applying rule selection. The Fuzzy Rule Based Systems obtained in this way, have a better trade-off between interpretability and accuracy in linguistic fuzzy modeling applications.