Full metadata record
DC FieldValueLanguage
dc.contributor.authorChen, SMen_US
dc.contributor.authorHorng, YJen_US
dc.date.accessioned2014-12-08T15:46:56Z-
dc.date.available2014-12-08T15:46:56Z-
dc.date.issued1999-02-01en_US
dc.identifier.issn1083-4419en_US
dc.identifier.urihttp://dx.doi.org/10.1109/3477.740169en_US
dc.identifier.urihttp://hdl.handle.net/11536/31544-
dc.description.abstractIn this paper, we present a new method for fuzzy query processing for document retrieval based on extended fuzzy concept networks. In an extended fuzzy concept network, there are four kinds of fuzzy relationships between concepts, i.e., fuzzy positive association, fuzzy negative association, fuzzy generalization, and fuzzy specialization, An extended fuzzy concept network can be modeled by a relation matrix and a relevance matrix, where the elements in a relation matrix represent the fuzzy relationships between concepts, and the elements in a relevance matrix indicate the degrees of relevance between concepts. The implicit fuzzy relationships between concepts can be inferred by the transitive closure of the relation matrix. The implicit degrees of relevance between concepts also can be inferred by the transitive closure of the relevance matrix. The proposed method is more flexible than the ones presented in [8] and [17] due to the fact that it allows the users to perform positive queries, negative queries, generalization queries, and specialization queries. The proposed method allows the users to perform fuzzy queries in a more flexible and more intelligent manner.en_US
dc.language.isoen_USen_US
dc.subjectdocument retrievalen_US
dc.subjectextended fuzzy concept networksen_US
dc.subjectfuzzy query processingen_US
dc.subjectrelation matrixen_US
dc.subjectrelevance matrixen_US
dc.titleFuzzy query processing for document retrieval based on extended fuzzy concept networksen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/3477.740169en_US
dc.identifier.journalIEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICSen_US
dc.citation.volume29en_US
dc.citation.issue1en_US
dc.citation.spage96en_US
dc.citation.epage104en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000078094200009-
dc.citation.woscount8-
Appears in Collections:Articles


Files in This Item:

  1. 000078094200009.pdf