Improving the User-System Interaction in a Web Multi-agent System Using Fuzzy Multi-granular Linguistic Information

نویسندگان

  • Enrique Herrera-Viedma
  • Carlos Porcel
  • Antonio Gabriel López-Herrera
  • Sergio Alonso
  • Amelia Zafra
چکیده

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.

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تاریخ انتشار 2006