ENHANCING THE FUZZY SET MODEL FOR HIGH-QUALITY DOCUMENT RANKINGS

Cited 1 time in webofscience Cited 0 time in scopus
  • Hit : 433
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorLEE, JHko
dc.contributor.authorKim, Myoung Hoko
dc.contributor.authorLee, Yoon Joonko
dc.date.accessioned2010-02-19T08:46:57Z-
dc.date.available2010-02-19T08:46:57Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1992-09-
dc.identifier.citationMICROPROCESSING AND MICROPROGRAMMING, v.35, no.1-5, pp.337 - 344-
dc.identifier.issn0165-6074-
dc.identifier.urihttp://hdl.handle.net/10203/16721-
dc.description.abstractIt has been argued for a long time that the conventional fuzzy set model based on the MIN and MAX operators is not appropriate for information retrieval systems. This is because the ranked output of documents from the conventional fuzzy set model does not agree with human's intuition in many cases. In this paper we first analyze various fuzzy operators, i.e., T-operators and averaging operators, and describe that the problems of the conventional fuzzy set model cannot be overcome with any type of T-operators. We then present a new formulation of the fuzzy set model which employs averaging operators. We show through operator graph analyses that the proposed fuzzy set model enhances the quality of document rankings. It is also described that the behaviour of the proposed fuzzy set model almost coincides with those of the extended boolean model.-
dc.languageEnglish-
dc.language.isoen_USen
dc.publisherELSEVIER SCIENCE BV-
dc.subjectRETRIEVAL-SYSTEMS-
dc.subjectINFORMATION-RETRIEVAL-
dc.titleENHANCING THE FUZZY SET MODEL FOR HIGH-QUALITY DOCUMENT RANKINGS-
dc.typeArticle-
dc.identifier.wosidA1992JN55700055-
dc.identifier.scopusid2-s2.0-0026912388-
dc.type.rimsART-
dc.citation.volume35-
dc.citation.issue1-5-
dc.citation.beginningpage337-
dc.citation.endingpage344-
dc.citation.publicationnameMICROPROCESSING AND MICROPROGRAMMING-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorKim, Myoung Ho-
dc.contributor.localauthorLee, Yoon Joon-
dc.contributor.nonIdAuthorLEE, JH-
dc.type.journalArticleArticle; Proceedings Paper-
dc.subject.keywordPlusRETRIEVAL-SYSTEMS-
dc.subject.keywordPlusINFORMATION-RETRIEVAL-
Appears in Collection
CS-Journal Papers(저널논문)
Files in This Item
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 1 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0