Fuzzy Partition and Input Selection by Genetic Algorithms for Designing Fuzzy Rule-Based Classification Systems

Tadahiko Murata, Hisao Ishibuchi, Tomoharu Nakashima, Mitsuo Gen. Fuzzy Partition and Input Selection by Genetic Algorithms for Designing Fuzzy Rule-Based Classification Systems. In V. William Porto, N. Saravanan, Donald E. Waagen, A. E. Eiben, editors, Evolutionary Programming VII, 7th International Conference, EP98, San Diego, CA, USA, March 25-27, 1998, Proceedings. Volume 1447 of Lecture Notes in Computer Science, pages 407-416, Springer, 1998.

@inproceedings{MurataING98,
  title = {Fuzzy Partition and Input Selection by Genetic Algorithms for Designing Fuzzy Rule-Based Classification Systems},
  author = {Tadahiko Murata and Hisao Ishibuchi and Tomoharu Nakashima and Mitsuo Gen},
  year = {1998},
  tags = {rule-based, classification, rules, partitioning},
  researchr = {https://researchr.org/publication/MurataING98},
  cites = {0},
  citedby = {0},
  pages = {407-416},
  booktitle = {Evolutionary Programming VII, 7th International Conference, EP98, San Diego, CA, USA, March 25-27, 1998, Proceedings},
  editor = {V. William Porto and N. Saravanan and Donald E. Waagen and A. E. Eiben},
  volume = {1447},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-64891-7},
}