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A fuzzy logic based strategy for information integration in meta-search agent systems

conference contribution
posted on 06.12.2017, 00:00 by Q Bai, Wei LiWei Li, M Zhang, K Song
When several information search agents work together for a user's query, each will obtain a result. The structures and relations of the search agents of the system may influence the accuracy and correctness of the result. How to integrate multiple results and provide an accurate final result to the user has become an important issue in both distributed information retrieval and the application of multi-agent systems. In this paper, we present a fuzzy logic based strategy for information integration, which is based on ranking orders of multiple results, similarities of search agents, and reliabilities of results from different search agents. This strategy is essentially a framework that can be combined with any other method to form a powerful integration strategy in distributed information retrieval.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Start Page

37

End Page

42

Number of Pages

6

Start Date

01/01/2003

Finish Date

01/01/2003

Location

Guangzhou, China

Publisher

Global-Link

Place of Publication

China

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Faculty of Informatics and Communication; University of Wollongong;

Era Eligible

Yes

Name of Conference

International Symposium on Knowledge and Systems Sciences;International Workshop on Meta-Synthesis and Complex Systems