Extension of fuzzy Galois connection for information retrieval using a fuzzy quantifier

Summary form only given. We have proposed another approach for the logical model of IR, for the evaluation of the IR implication d /spl iexcl/! RQ in a fuzzy context. We transform the initial implication into a fuzzy implication and the matching process is modelled by the extension of the fuzzy Galois connection while considering a fuzzy quantifier. We want to implement a retrieval engine only based on the computation of this fuzzy Galois connection. Another research area we want to explore is a combination of the direct and reverse implication, as suggested by the initial general logic framework proposed by Nie. As work in progress, we propose to use the proposed extension of the fuzzy Galois connection in text mining to extract fuzzy association rules between terms and perform query expansion using these fuzzy associations between terms.