Building And Evaluation Of Indexes For Possibilistic Queries On A Fuzzy Object-Relational Database Management System

An effective way to implement a fuzzy database is on top of a classical Relational Database Management Systems (RDBMS). In this sense, we have proposed a Fuzzy Object Relational Database Management System (FORDBMS) [1] built on top of Oracle (R) RDBMS. To enhance the performance of queries based on possibility, we have carried out a study [2] to adapt indexing techniques available in classical RDBMS to the fuzzy retrieval.This paper shows the implementation of the best of these indexing techniques on our FORDBMS and evaluates and compares their performance. The results show that the best of these techniques enhance query execution time in several orders of magnitude with respect to sequential retrieving.