Designing Ensembles of Fuzzy Classification Systems: An Immune-Inspired Approach

@inproceedings{Castro2005DesigningEO,
  title={Designing Ensembles of Fuzzy Classification Systems: An Immune-Inspired Approach},
  author={Pablo Alberto Dalbem de Castro and Guilherme Palermo Coelho and Marcelo F. Caetano and Fernando Jos{\'e} Von Zuben},
  booktitle={ICARIS},
  year={2005}
}
In this work we propose an immune-based approach for designing of fuzzy systems. From numerical data and with membership function previously defined, the immune algorithm evolves a population of fuzzy classification rules based on the clonal selection, hypermutation and immune network principles. Once AIS are able to find multiple good solutions of the problem, accurate and diverse fuzzy systems are built in a single run. Hence, we construct an ensemble of these classifier in order to achieve… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 25 REFERENCES

Genetic design of fuzzy knowledge bases - a study of different approaches

  • IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04.
  • 2004
VIEW 1 EXCERPT

An artificial immune network for multimodal function optimization

  • Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)
  • 2002