Eduardo Ramírez, Patricia Melin, German Prado-Arechiga. Toward Improving the Fuzzy KNN Algorithm Based on Takagi-Sugeno Fuzzy Inference System. In Barnabás Bede, Martine Ceberio, Martine De Cock, Vladik Kreinovich, editors, Fuzzy Information Processing 2020 - Proceedings of the 2020 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2020, Redmond, WA, USA, 20-22 August 2020. Volume 1337 of Advances in Intelligent Systems and Computing, pages 237-252, Springer, 2020. [doi]
@inproceedings{RamirezMP20-0,
title = {Toward Improving the Fuzzy KNN Algorithm Based on Takagi-Sugeno Fuzzy Inference System},
author = {Eduardo Ramírez and Patricia Melin and German Prado-Arechiga},
year = {2020},
doi = {10.1007/978-3-030-81561-5_20},
url = {https://doi.org/10.1007/978-3-030-81561-5_20},
researchr = {https://researchr.org/publication/RamirezMP20-0},
cites = {0},
citedby = {0},
pages = {237-252},
booktitle = {Fuzzy Information Processing 2020 - Proceedings of the 2020 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2020, Redmond, WA, USA, 20-22 August 2020},
editor = {Barnabás Bede and Martine Ceberio and Martine De Cock and Vladik Kreinovich},
volume = {1337},
series = {Advances in Intelligent Systems and Computing},
publisher = {Springer},
isbn = {978-3-030-81561-5},
}