@misc{10481/55778,
year = {2016},
month = {10},
url = {http://hdl.handle.net/10481/55778},
abstract = {A common way to implement a fuzzy database is on top of a classical Relational
Database Management Systems (RDBMS). Given that almost all RDBMS provide indexing
mechanisms to enhance classical query processing performance,  nding ways to use
these mechanisms to enhance the performance of 
exible query processing is of enormous
interest.
This work proposes and evaluates a set of indexing strategies, implemented exclusively
on top of classical RDBMS indexing structures, designed to improve 
exible query
processing performance, focusing in the case of possibilities queries. Results show the
best indexing strategies for di erent data a query scenarios, o ering e ective ways to
implement fuzzy data indexes on top of a classical RDBMS.},
publisher = {International Journal of Intelligent Systems},
keywords = {Possibilistics query},
keywords = {Relational databases},
keywords = {Fuzzy databases},
keywords = {Database indexing},
keywords = {Fuzzy database indexing},
title = {Evaluation of indexing strategies for possibilistic queries based on indexing techniques available in traditional RDBMS},
doi = {10.1002/int.21820},
author = {Medina, Juan Miguel and Barranco, Carlos D. and Pons, Olga},
}