A New Approach for Fuzzy Query Processing Based on Automatic Clustering Techniques

In recent years, many methods have been presented for fuzzy queries processing in rela-tional database systems. One of the existing fuzzy query processing methods is to cluster data in advance, such that the process of fuzzy query processing only needs to process the most proper clusters instead of all the data in the relational database system. However, most existing clustering methods need users to predefine the number of clusters, thus lack-ing convenience and flexibility. In this paper, we present a new approach for fuzzy query processing based on automatic clustering techniques. The proposed automatic clustering al-gorithm does not need to define the number of clusters of the data in advance. The method can process users ’ fuzzy queries in a more flexible and more intelligent manner