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dc.contributor.authorCHEN, SMen_US
dc.contributor.authorWANG, JYen_US
dc.date.accessioned2019-04-02T05:59:15Z-
dc.date.available2019-04-02T05:59:15Z-
dc.date.issued1995-05-01en_US
dc.identifier.issn0018-9472en_US
dc.identifier.urihttp://dx.doi.org/10.1109/21.376492en_US
dc.identifier.urihttp://hdl.handle.net/11536/149120-
dc.description.abstractA knowledge-based approach for fuzzy information retrieval is proposed, where interval queries and weighted-interval queries are allowed for document retrieval, In this paper, knowledge is represented by a concept matrix, where the elements in a concept matrix represent relevant values between concepts, The implicit relevant values between concepts are inferred by the transitive closure of the concept matrix based on fuzzy logic. The proposed method is more flexible than the ones presented in [6] and [11] due to the fact that it has the capability to deal with interval queries and weighted-interval queries.en_US
dc.language.isoen_USen_US
dc.titleDOCUMENT-RETRIEVAL USING KNOWLEDGE-BASED FUZZY INFORMATION-RETRIEVAL TECHNIQUESen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/21.376492en_US
dc.identifier.journalIEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSen_US
dc.citation.volume25en_US
dc.citation.spage793en_US
dc.citation.epage803en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:A1995QT09500007en_US
dc.citation.woscount43en_US
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