A Low Implementation Cost Alternative for Indexing Fuzzy Numerical Data

The paper introduces an indexing technique for fuzzy numerical data for queries involving possibility measured flexible conditions. The proposal is based on a classical indexing mechanism for numerical crisp data, b+trees, which is implemented in most of commercial Database Management Systems (DBMS). This fact, makes the proposed technique a good candidate to be integrated in a fuzzy DBMS when it is developed as an extension of a crisp DBMS.