Improving the user-system interaction in a web multi-agent system using fuzzy multi-granular linguistic information

Authors:
E. Herrera-Viedma;C. Porcel;A. G. Lopez-Herrera;S. Alonso;A. Zafra
Affiliations:
Dept. of Computer Science and Artificial Intelligence, University of Granada, Spain;Dept. of Computer Science, University of Cordoba, Spain;Dept. of Computer Science, University of Jaen, Spain;Dept. of Computer Science and Artificial Intelligence, University of Granada, Spain;Dept. of Computer Science and Artificial Intelligence, University of Granada, Spain
Venue:
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
Year:
2006

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Abstract

Nowadays, information gathering in Internet is a complex activity and Internet users need systems to assist them to obtain the information required. In an earlier studies [5, 6, 16] we presented different fuzzy linguistic multi-agent models for helping users in their information gathering processes on the Web. In this paper, we present a new fuzzy linguistic multi-agent model to access information on the Web that incorporates the use of fuzzy multi-granular linguistic modeling to improve its user-system interaction and be more user-friendly.