An IRS based on multi-granular linguistic information Cordón García, Óscar Herrera Viedma, Enrique Luque, M. Herrera, J.C. Information retrieval system Fuzzy multi-granular linguistic An 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 interaction 2009-10-02T12:16:26Z 2009-10-02T12:16:26Z 2002 info:eu-repo/semantics/article Herrera-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. http://hdl.handle.net/10481/1210 eng López-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. http://creativecommons.org/licenses/by-nc-nd/3.0/ Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License ISKO Conference