Abstract
Due to increase in web-based applications, the need for enhanced information retrieval system that accommodate user's needs become crucial. Most of commercial information retrieval system are based on standard Boolean model and at less scale vector models. Although the deficiencies of these models are now part of text-book knowledge, the development of new models still have to overcome the feasibility and testing challenge. This paper advocates a fuzzy based approach for information retrieval where a new model is put forward. Also, its feasibility and performance are demonstrated through a testing with a large-scale university database and whose results are compared to a standard commercial Boolean model.
| Original language | English |
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| Title of host publication | Proceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference |
| Pages | 582-587 |
| Number of pages | 6 |
| Publication status | Published - 1 Jan 2005 |