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dc.contributor.authorHorng, YJen_US
dc.contributor.authorChen, SMen_US
dc.contributor.authorLee, CHen_US
dc.date.accessioned2014-12-08T15:26:54Z-
dc.date.available2014-12-08T15:26:54Z-
dc.date.issued2001en_US
dc.identifier.isbn0-7803-7293-Xen_US
dc.identifier.urihttp://hdl.handle.net/11536/19138-
dc.description.abstractIn this paper, an intelligent fuzzy information retrieval system with an automatically constructed knowledge base is presented. The knowledge base is represented by a multi-relationship fuzzy concept network that can depict the relationships and their associating relevance degrees between concepts clearly. Based on the multi-relationship fuzzy concept network architecture, the users of the fuzzy information retrieval system can submit a fuzzy contextual query that specifies; the search context in the query formula. The fuzzy information retrieval system retrieves documents whose contents are relevant to the user's query by some required relationships beneath a specified search context The proposed fuzzy information retrieval method is more intelligent and more flexible than the existing methods since it can automatically construct knowledge bases (i.e, multi-relationship fuzzy concept networks) and it provides contextual search capability that allows users to specify fuzzy contextual queries in a more flexible manner.en_US
dc.language.isoen_USen_US
dc.titleAutomatically constructing multi-relationship fuzzy concept networks in fuzzy information retrieval systemsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal10TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3: MEETING THE GRAND CHALLENGE: MACHINES THAT SERVE PEOPLEen_US
dc.citation.spage606en_US
dc.citation.epage609en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000178178300151-
Appears in Collections:Conferences Paper