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http://dx.doi.org/10.5391/IJFIS.2005.5.3.216

Evaluation of Classified Information on Web Agent Using Fuzzy Theory  

Kim Doo-Ywan (Catholic University of Daegu)
Kim Tae-Ywan (Kookmin University)
Publication Information
International Journal of Fuzzy Logic and Intelligent Systems / v.5, no.3, 2005 , pp. 216-221 More about this Journal
Abstract
The rapid growth and spread of the World Wide Web has made it possible to easily access a variety of useful information. It is, however, very difficult to retrieve, manage, and use the desired information in web. Various kinds of systems such as Search engines, MetaSearch engines, Spiders, Softbots, Intelligent Agents or Web Agents have been developed by a large number of researchers and companies. Those systems as intelligent agent are employed to avoid the overload of information. To efficiently improve the Software Agents, it is necessary to represent and classify the retrieved data. And to improve performance of the Intelligent Agents to create the classification, it is offered how to evaluate the propriety with other information retrieved from the Web and to recommend to the user the most suitable information.
Keywords
fuzzy theory; Intelligent Software Agents; Multiagent Systems;
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