Fuzzy web information retrieval system with fuzzy thesaurus using fuzzy relational BK-products

This study develops a web information retrieval system using the fuzzy relations in the indexing and ranking portions of standard web retrieval methods. The system was developed, including crawler, indexer, ranking portion, and user search structure. The BK-products of fuzzy relations with closure/interior properties are used to construct a fuzzy thesaurus and further to retrieve the relevant documents. The results of the system are evaluated and compared with the existing search methods.

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