Multiobjective genetic fuzzy rule selection with fuzzy relational rules

@article{Nojima2013MultiobjectiveGF,
  title={Multiobjective genetic fuzzy rule selection with fuzzy relational rules},
  author={Yusuke Nojima and Hisao Ishibuchi},
  journal={2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS)},
  year={2013},
  pages={60-67}
}
Genetic fuzzy rule selection has been frequently used for fuzzy rule-based classifier design. A number of its variants have also been proposed in the literature. In many studies on genetic fuzzy rule selection, each antecedent condition in fuzzy rules is given for a single input variable such as “x<sub>1</sub> is small” and “x<sub>2</sub> is large”. As a result, each antecedent fuzzy set is defined on a single input variable. In this paper, we examine the use of fuzzy relational conditions with… CONTINUE READING
5 Citations
24 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-10 of 24 references

A fast and elitist multiobjective genetic algorithm: NSGA-II

  • K. Deb, A. Pratap, S. Agarwal, T. Meyarivan
  • IEEE Trans. on Evolutionary Computation, vol. 6…
  • 2002
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…