An Evolutionary Algorithm for the Processing of Fuzzy Quantified Queries Using Clustering

This paper is about to make a contribution in the field of fuzzy query processing. The authors are mainly interested in query mechanism for evaluation of fuzzy quantified queries on the relational database. They restrict their work to fuzzy quantified sentences of form S1, involving linguistic quantification of fuzzy conditions over crisp sets. They proposed a new algorithm for the processing of fuzzy quantified queries using clustering. This algorithm is an optimization of an existing query evaluation mechanism.

Provided by: International Journal of Computer Science & Engineering Technology (IJCSET) Topic: Software Date Added: Sep 2012 Format: PDF

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