Show simple item record Jensen, Richard Shen, Qiang 2009-12-07T08:41:27Z 2009-12-07T08:41:27Z 2009-12
dc.identifier.citation Jensen , R & Shen , Q 2009 , ' Are More Features Better? : A Response to Attributes Reduction Using Fuzzy Rough Sets ' IEEE Transactions on Fuzzy Systems , vol 17 , no. 6 , pp. 1456-1458 . DOI: 10.1109/TFUZZ.2009.2026639 en
dc.identifier.issn 1063-6706
dc.identifier.other PURE: 142317
dc.identifier.other PURE UUID: 57f7dba3-a9fd-4f8a-b393-5828bfe6586d
dc.identifier.other dspace: 2160/3775
dc.identifier.other RAD_Outputs_All_ID_Import_20121105.csv: row: 323
dc.identifier.other Scopus: 72649106562
dc.identifier.uri en
dc.description.abstract A recent TRANSACTIONS ON FUZZY SYSTEMS paper proposing a new fuzzy-rough feature selector (FRFS) has claimed that the more attributes remain in datasets, the better the approximations and hence resulting models. [Tsang et al., IEEE Trans. Fuzzy Syst., vol. 16, no. 5, pp. 1130–1141]. This claim has been used as a primary criticism of the original FRFS method [Jensen and Shen, IEEE Trans. Fuzzy Syst., vol. 15, no. 1, pp. 73–89, Feb. 2007]. Although, in certain applications, it may be necessary to consider as many features as possible, the claim is contrary to the motivation behind feature selection concerning the curse of dimensionality, the presence of redundant and irrelevant features, and the large amount of literature documenting observed improvements in modeling techniques following data reduction. This letter discusses this issue, as well as two other issues raised by Tsang et al. [IEEE Trans. Fuzzy Syst., vol. 16, no. 5, pp. 1130–1141, Oct. 2008] regarding the original algorithm. en
dc.format.extent 3 en
dc.language.iso eng
dc.relation.ispartof IEEE Transactions on Fuzzy Systems en
dc.rights en
dc.subject attributes reduction en
dc.subject data reduction en
dc.subject fuzzy rough sets en
dc.subject Fuzzy-rough feature selection en
dc.title Are More Features Better? : A Response to Attributes Reduction Using Fuzzy Rough Sets en
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article en
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Advanced Reasoning Group en
dc.description.status Peer reviewed en

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