Rough-fuzzy set theoretic approach to evaluate the importance of input features in classification

Manish Sarkar, B. Yegnanarayana. Rough-fuzzy set theoretic approach to evaluate the importance of input features in classification. In Proceedings of International Conference on Neural Networks (ICNN'97), Houston, TX, USA, June 9-12, 1997. pages 1590-1595, IEEE, 1997. [doi]

@inproceedings{SarkarY97b,
  title = {Rough-fuzzy set theoretic approach to evaluate the importance of input features in classification},
  author = {Manish Sarkar and B. Yegnanarayana},
  year = {1997},
  doi = {10.1109/ICNN.1997.614131},
  url = {https://doi.org/10.1109/ICNN.1997.614131},
  researchr = {https://researchr.org/publication/SarkarY97b},
  cites = {0},
  citedby = {0},
  pages = {1590-1595},
  booktitle = {Proceedings of International Conference on Neural Networks (ICNN'97), Houston, TX, USA, June 9-12, 1997},
  publisher = {IEEE},
}