A Multiobjective Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy-Rule Based Classification Systems * 0

@inproceedings{Cordbn2004AMG,
  title={A Multiobjective Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy-Rule Based Classification Systems * 0},
  author={Cordbn and Herrera and Marx00EDa Josx00E9 del Jesus and Pedro Villar},
  year={2004}
}
In this contribution, we propose a new method to automatically learn the knowledge base of a Fuzzy RuleBased Classification System (FRBCS) by selecting an adequate set of features and by finding an appropiate granularity for them. This process uses a multiobjective genetic algorithm and considers a simple generation method to derive the fuzzy classification rules. 

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