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An IRS based on multi-granular linguistic information

dc.contributor.authorCordón García, Óscar en_US
dc.contributor.authorHerrera Viedma, Enrique en_US
dc.contributor.authorLuque, M.en_US
dc.contributor.authorHerrera, J.C.en_US
dc.date.accessioned2009-10-02T12:16:26Z
dc.date.available2009-10-02T12:16:26Z
dc.date.issued2002en_US
dc.identifier.citationHerrera-Viedma, E.; Cordón, O.; Herrera, J.C.; Luque, M. "An IRS Based on Multi-Granular Linguistic Information". In: 7th International ISKO Conference, ISKO'2002. Granada (Spain), 2002, pp. 372-378.en_US
dc.identifier.urihttp://hdl.handle.net/10481/1210
dc.description.abstractAn information retrieval system (IRS) based on fuzzy multi-granular linguistic information is proposed. The system has an evaluation method to process multi-granular linguistic information, in such a way that the inputs to the IRS are represented in a different linguistic domain than the outputs. The system accepts Boolean queries whose terms are weighted by means of the ordinal linguistic values represented by the linguistic variable "Importance" assessed on a label set S. The system evaluates the weighted queries according to a threshold semantic and obtains the linguistic retrieval status values (RSV) of documents represented by a linguistic variable "Relevance" expressed in a different label set S". The advantage of this linguistic IRS with respect to others is that the use of the multi-granular linguistic information facilitates and improves the IRS-user interactionen_US
dc.description.sponsorshipDepartamento de Biblioteconomía y Documentación. Departamento de Ciencias de la Computación e Inteligencia Artificial. Universidad de Granada.en_US
dc.language.isoengen_US
dc.publisherISKO Conferenceen_US
dc.relation.ispartofLópez-Huertas, M. J. (Ed.). (2002). Challenges in knowledge representation and organization for the 21st century: Integration of knowledge across boundaries: Proceedings of the Seventh International ISKO Conference (Granada, Spain, July 10-13, 2002). Advances in knowledge organization, no. 8. Würzburg: Ergon.en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs 3.0 License
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectInformation retrieval systemen_US
dc.subjectFuzzy multi-granular linguisticen_US
dc.titleAn IRS based on multi-granular linguistic informationen_US
dc.typeinfo:eu-repo/semantics/articleen_US


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