@inproceedings{6c63038d38a34640a2bcf4ce86f1d38a,
title = "Rough numbers and rough regression",
abstract = "In this article a new model of regression is defined. On the basis of the rough sets theory a notion of rough number is defined. Typical real numbers calculations do not keep the additional information like the uncertainty or the error of input data. Rough numbers remove this limitation. It causes that rough numbers seem to be interested as the basis of the new way of regression: rough regression.",
keywords = "machine learning, nonparametric regression, rough numbers, rough regression, rough sets",
author = "Marcin Michalak",
year = "2011",
doi = "10.1007/978-3-642-21881-1\_12",
language = "English",
isbn = "9783642218804",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "68--71",
booktitle = "Rough Sets, Fuzzy Sets, Data Mining and Granular Computing - 13th International Conference, RSFDGrC 2011, Proceedings",
note = "13th International Conference on Rough Sets, Fuzzy Sets and Granular Computing, RSFDGrC 2011 ; Conference date: 25-06-2011 Through 27-06-2011",
}