A B+-tree Based Indexing Technique for Necessity Measured Flexible Conditions on Fuzzy Numerical Data

The paper proposes an indexing technique for fuzzy numerical data which increases the performance of query processing when the query involves an atomic necessity measured flexible condition. The proposal is based on a classical indexing technique for numerical crisp data, B+tree. Its efficiency is contrasted with another indexing method for similar data and queries. Results show that the proposal performance is similar to and more stable than the reference technique.