Techniques to Improve Multi-Agent Systems for Searching and Mining the Web
نویسندگان
چکیده
Nowadays, an abundant amount of information is created and delivered over electronic media. The information gathering in Internet is a complex activity and Internet users need tools to assist them to find the information required. Web multi-agent systems assist the users by gathering from Internet the information that best satisfies their specific needs. In this paper, we analyze some techniques that applied together could provide major advances in the design of these Web multi-agent systems in order to improve their performance: i) information filtering tools and ii) the fuzzy linguistic modelling. Then, we present a model of a fuzzy linguistic multi-agent system for searching and mining the Web that is designed using some filtering tools and a particular fuzzy linguistic modelling, called multi-granular fuzzy linguistic modelling, which is useful when we have different label sets to assess the information.
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