PROCESSING FUZZY SQL QUERIES WITH FLAT, CONTEXT-DEPENDENT AND MULTIDIMENSIONAL MEMBERSHIP FUNCTIONS
Bożena Małysiak-Mrozek, Dariusz Mrozek, Stanisław Kozielski · Computational intelligence · 2005
Analysis of new trends in databases development shows that promising solution in databases gathering a hu ge quantities of information is approximate retrieval. This work presents the fuzzy queries processing with a s pecial attention to context-dependent and multidimensional membership functions. In the first part, the analysis of occurrence of fu zzy values in SQL queries directed to the databases is shown. Next, the process of interpretation of filtering conditio ns in SQL queries is discussed and condition on compatibility degree is introduced to SQL queries notation. The main part of the paper describes application of context-dependent and multidimensional membership functions in fuzzy SQL queries as two different approa ches, and a whole process of their usage interpretation. All issues considered in this work are illustrated by a ppropriate examples.