Use of Pareto-Optimal and Near Pareto-Optimal Candidate Rules in Genetic Fuzzy Rule Selection

Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima. Use of Pareto-Optimal and Near Pareto-Optimal Candidate Rules in Genetic Fuzzy Rule Selection. In Patricia Melin, Oscar Castillo, Eduardo Gómez-Ramírez, Janusz Kacprzyk, Witold Pedrycz, editors, Analysis and Design of Intelligent Systems using Soft Computing Techniques, a selection of papers from IFSA 2007. Volume 41 of Advances in Soft Computing, pages 387-396, Springer, 2007. [doi]

@incollection{IshibuchiKN07:0,
  title = {Use of Pareto-Optimal and Near Pareto-Optimal Candidate Rules in Genetic Fuzzy Rule Selection},
  author = {Hisao Ishibuchi and Isao Kuwajima and Yusuke Nojima},
  year = {2007},
  doi = {10.1007/978-3-540-72432-2_39},
  url = {http://dx.doi.org/10.1007/978-3-540-72432-2_39},
  tags = {rule-based, rules},
  researchr = {https://researchr.org/publication/IshibuchiKN07%3A0},
  cites = {0},
  citedby = {0},
  pages = {387-396},
  booktitle = {Analysis and Design of Intelligent Systems using Soft Computing Techniques, a selection of papers from IFSA 2007},
  editor = {Patricia Melin and Oscar Castillo and Eduardo Gómez-Ramírez and Janusz Kacprzyk and Witold Pedrycz},
  volume = {41},
  series = {Advances in Soft Computing},
  publisher = {Springer},
  isbn = {978-3-540-72431-5},
}