Feature Selection with Fuzzy Decision Reducts

Chris Cornelis, Germán Hurtado Martín, Richard Jensen, Dominik Ślȩzak

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

31 Citations (SciVal)
224 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationRough Sets and Knowledge Technology
EditorsGuoyin Wang, Tianrui Li, Jerzy W. Grzymala-Busse, Duoqian Miao, Andrzej Skowron, Yiyu Yao
PublisherSpringer Nature
Pages284-291
Number of pages8
Volume5009
ISBN (Electronic)978-3-540-79721-0
ISBN (Print)978-3-540-79720-3
DOIs
Publication statusPublished - 2008
Event3rd International Conference, RSKT 2008 - Chengdu, China
Duration: 17 May 200819 May 2008

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg

Conference

Conference3rd International Conference, RSKT 2008
Country/TerritoryChina
CityChengdu
Period17 May 200819 May 2008

Keywords

  • fuzzy sets
  • Rough sets
  • decision reducts
  • Classification

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