Abstract
In this paper we propose a novel approach of fuzzy rough sets for an information system applied to Web Query. As we know, one of the most common ways to retrieve information from the WWW is keyword search. We combine the flexibility of upper approximation with the strictness of lower approximation by applying them successively; we rely on the membership function to deal with graded thesauri and weighted queries, representing the thesaurus as a fuzzy relation and the query as a fuzzy set. A decision table is achieved by removing redundant attributes without any information loss.The new terms with weights do not only reflect the strength with original individual query ones but also take into account their relevance as a whole. The precision of system evaluation is realized by fuzzy comprehensive estimation on rough sets.
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Han, J., Liu, G. (2010). A Novel Approach Based on Fuzzy Rough Sets for Web Query System. In: Cao, By., Wang, Gj., Guo, Sz., Chen, Sl. (eds) Fuzzy Information and Engineering 2010. Advances in Intelligent and Soft Computing, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14880-4_73
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DOI: https://doi.org/10.1007/978-3-642-14880-4_73
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