@inproceedings{5d90b55b75ca43c3ba180a1e64a21757,
title = "Classification using the variable precision rough set",
abstract = "In this paper, we present a new version of discernibility matrix, so called variable precision discernibility matrix, which can tolerate the noise of information, in addition, a reduction algorithm is also presented based on the partial order relation of the conditional attribute and used to do image classification. Compared with traditional rough set and BP network, the results will be much better.",
author = "Yongqiang Zhao and Hongcai Zhang and Quan Pan",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2003.; 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2003 ; Conference date: 26-05-2003 Through 29-05-2003",
year = "2003",
doi = "10.1007/3-540-39205-x_55",
language = "英语",
isbn = "3540140409",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "350--353",
editor = "Guoyin Wang and Qing Liu and Yiyu Yao and Andrzej Skowron",
booktitle = "Rough Sets, Fuzzy Sets, Data Mining and Granular Computing - 9th International Conference, RSFDGrC 2003, Proceedings",
}