Feature Selection with Fuzzy Decision Reducts

摘要：

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.

关键词： fuzzy sets rough sets decision reducts classification.

作者: Chris Cornelis Germán Hurtado Martín Richard Jcnsen Dominik (S)l(e)zak

作者单位: Dept.of Mathematics and Computer Science,Ghent University,Gent,Belgium Dept.of Mathematics and Computer Science,Ghent University,Gent,Belgium Dept.of Industrial Sciences,H Dept.of Computer Science,The University of Wales,Aberystwyth,UK Infobright Inc.,Toronto,Canada

会议类型: 国际会议

会议名称: The Third International Conference on Rough Sets and Knowledge Tevhnology(RSKT 2008)(第三届粗糙集与知识技术国际会议)

会议地点: 成都

会议语种:英文

页码: 284-291

在线出版日期: 2008-05-17（万方平台首次上网日期，不代表论文的发表时间）