@inproceedings{3086b1d57a4b41d2800b438b28c2bad9,
title = "Feature Selection with Fuzzy Decision Reducts",
abstract = "In this paper, within the context of fuzzy rough set theory, we generalize the classical rough set framework for data-based attribute selection and reduction, based on the notion of fuzzy decision reducts. Experimental analysis confirms the potential of the approach.",
keywords = "fuzzy sets, Rough sets, decision reducts, Classification",
author = "Chris Cornelis and {Hurtado Mart{\'i}n}, Germ{\'a}n and Richard Jensen and Dominik {\'S}lȩzak",
note = "C. Cornelis, G. Hurtado Martin, R. Jensen and D. Slezak. Feature Selection with Fuzzy Decision Reducts. To appear in: Proceedings of the Third International Conference on Rough Sets and Knowledge Technology (RSKT08), 2008.; 3rd International Conference, RSKT 2008 ; Conference date: 17-05-2008 Through 19-05-2008",
year = "2008",
doi = "10.1007/978-3-540-79721-0_41",
language = "English",
isbn = "978-3-540-79720-3",
volume = "5009",
series = "Lecture Notes in Computer Science",
publisher = "Springer Nature",
pages = "284--291",
editor = "Guoyin Wang and Tianrui Li and Grzymala-Busse, {Jerzy W.} and Duoqian Miao and Andrzej Skowron and Yiyu Yao",
booktitle = "Rough Sets and Knowledge Technology",
address = "Switzerland",
}