A Combination-of-Tools Method for Learning Interpretable Fuzzy Rule-Based Classifiers from Support Vector Machines

Tamas Kenesei, Johannes A. Roubos, János Abonyi. A Combination-of-Tools Method for Learning Interpretable Fuzzy Rule-Based Classifiers from Support Vector Machines. In Hujun Yin, Peter Tiño, Emilio Corchado, William Byrne, Xin Yao, editors, Intelligent Data Engineering and Automated Learning - IDEAL 2007, 8th International Conference, Birmingham, UK, December 16-19, 2007, Proceedings. Volume 4881 of Lecture Notes in Computer Science, pages 477-486, Springer, 2007. [doi]

@inproceedings{KeneseiRA07,
  title = {A Combination-of-Tools Method for Learning Interpretable Fuzzy Rule-Based Classifiers from Support Vector Machines},
  author = {Tamas Kenesei and Johannes A. Roubos and János Abonyi},
  year = {2007},
  doi = {10.1007/978-3-540-77226-2_49},
  url = {http://dx.doi.org/10.1007/978-3-540-77226-2_49},
  tags = {rule-based, machine learning, rules},
  researchr = {https://researchr.org/publication/KeneseiRA07},
  cites = {0},
  citedby = {0},
  pages = {477-486},
  booktitle = {Intelligent Data Engineering and Automated Learning - IDEAL 2007, 8th International Conference, Birmingham, UK, December 16-19, 2007, Proceedings},
  editor = {Hujun Yin and Peter Tiño and Emilio Corchado and William Byrne and Xin Yao},
  volume = {4881},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-540-77225-5},
}