Devising Asymmetric Linguistic Hedges to Enhance the Accuracy of NEFCLASS for Datasets with Highly Skewed Feature Values

Jamileh Yousefi. Devising Asymmetric Linguistic Hedges to Enhance the Accuracy of NEFCLASS for Datasets with Highly Skewed Feature Values. In Juan Julián Merelo Guervós, Jonathan M. Garibaldi, Christian Wagner 0002, Thomas Bäck, Kurosh Madani, Kevin Warwick, editors, Proceedings of the 12th International Joint Conference on Computational Intelligence, IJCCI 2020, Budapest, Hungary, November 2-4, 2020. pages 309-320, SCITEPRESS, 2020. [doi]

@inproceedings{Yousefi20-0,
  title = {Devising Asymmetric Linguistic Hedges to Enhance the Accuracy of NEFCLASS for Datasets with Highly Skewed Feature Values},
  author = {Jamileh Yousefi},
  year = {2020},
  doi = {10.5220/0010143103090320},
  url = {https://doi.org/10.5220/0010143103090320},
  researchr = {https://researchr.org/publication/Yousefi20-0},
  cites = {0},
  citedby = {0},
  pages = {309-320},
  booktitle = {Proceedings of the 12th International Joint Conference on Computational Intelligence, IJCCI 2020, Budapest, Hungary, November 2-4, 2020},
  editor = {Juan Julián Merelo Guervós and Jonathan M. Garibaldi and Christian Wagner 0002 and Thomas Bäck and Kurosh Madani and Kevin Warwick},
  publisher = {SCITEPRESS},
  isbn = {978-989-758-475-6},
}