Implementation of automatically generated membership functions based on grouping algorithms

Abstract

Fuzzy methods and clustering algorithms have been applied to relational database system. Fuzzy clusters can be used to prepare fuzzy queries in database system. By means of fuzzy sets issue, we are able to get every ambiguous or imprecise information kept in a database. This opportunity is unreachable in conventional Boolean logic, therefore this paper proves an expressive power of fuzzy logic theorem in database real problems apply. Implementation of fuzzy logic on database systems extends traditional SQL language with new mechanisms and new features.