Combining Linguistic Information in a Distributed Intelligent Agent Model for Information Gathering

The linguistic approach based on fuzzy sets has given very good results in the modeling of qualitative information, from what has been applied to solve several real-world problems in medicine, information retrieval, education, etc. In this paper, some practical considerations about the choice and semantic of the linguistic term set of such an approach, as well as diierent proposals of aggre-gation of linguistic information are studied. The Linguistic Weighted Averaging Operator to aggregate linguistic weighted information is described, and its use as a way of incorporating more exibility in the information gathering and communication process among agents in a distributed intelligent agent model on the Internet is presented.

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