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dc.contributor.authorCordón García, Oscar-
dc.contributor.authorMoya Anegón, Félix de-
dc.contributor.authorZarco Fernández, Carmen-
dc.date.accessioned2009-02-05T12:18:07Z-
dc.date.available2009-02-05T12:18:07Z-
dc.date.issued2000-
dc.identifier.citationMathware & soft computing . 2000 Vol. 7 Núm. 2 [ -3 ]en_US
dc.identifier.issn1134-5632-
dc.identifier.urihttp://hdl.handle.net/10261/10351-
dc.description.abstract[ES] Although the fuzzy retrieval model constitutes a powerful extension of the boolean one, being able to deal with the imprecision and subjectivity existing in the Information Retrieval process, users are not usually able to express their query requirements in the form of an extended boolean query including weights. To solve this problem, different tools to assist the user in the query formulation have been proposed. In this paper, the genetic algorithm-programming technique is considered to build an algorithm of this kind that will be able to automatically learn weighted queries --modeling the user s needs-- for a fuzzy information retrieval system by applying an off-line adaptive process starting from a set of relevant documents.en_US
dc.format.extent558130 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoengen_US
dc.publisherUniversidad Politécnica de Cataluñaen_US
dc.rightsopenAccessen_US
dc.subjectFuzzy information retrievalen_US
dc.subjectGA-P algorithmsen_US
dc.subjectWeighted queriesen_US
dc.subjectAutomatic query learningen_US
dc.titleA GA-P algorithm to automatically formulate extended Boolean queries for a fuzzy information retrieval systemen_US
dc.typeartículoen_US
dc.description.peerreviewedPeer revieweden_US
dc.relation.publisherversionhttps://upcommons.upc.edu/revistes/bitstream/2099/3586/1/18cordon.pdfen_US
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.openairetypeartículo-
item.languageiso639-1en-
item.grantfulltextopen-
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