Improving Internet Intelligent Agents Using Fuzzy Logic and Data Mining Techniques
نویسندگان
چکیده
In this paper we present an approach to use fuzzy logic and data mining techniques in order to improve the quality of intelligent agents services in the Internet context. The overall objective is to design and implement a software model for collaborative environments capable of extracting knowledge from newsgroups, chat services ... The construction of the components of this software model is mainly based on fuzzy logic technologies (fuzzy clustering, fuzzy ontology, fuzzy synonymy relationship) and Java Software Development techniques. To represent and manage this knowledge we use fuzzy rules and fuzzy deformable prototypes.
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