@misc{10481/1210,
year = {2002},
url = {http://hdl.handle.net/10481/1210},
abstract = {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},
organization = {Departamento de Biblioteconomía y Documentación. Departamento de Ciencias de la Computación e Inteligencia Artificial. Universidad de Granada.},
publisher = {ISKO Conference},
booktitle = {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.},
keywords = {Information retrieval system},
keywords = {Fuzzy multi-granular linguistic},
title = {An IRS based on multi-granular linguistic information},
author = {Cordón García, Óscar and Herrera Viedma, Enrique and Luque, M. and Herrera, J.C.},
}