@misc{10481/111072,
year = {2025},
url = {https://hdl.handle.net/10481/111072},
abstract = {SQL group by queries allow grouping tuples in relational databases and computing aggregated values from the obtained sets of tuples, which makes them a particularly useful tool for data analysis.  In this paper, we propose a way to solve this type of queries in a fuzzy environment, using fuzzy partitions of the domain of attributes according to Ruspini. The resolution of the query is carried out through the use of RL-instances and concepts from the theory of Representations by Levels, particularly a new method to derive RL-partitions from fuzzy partitions.  The approach can be easily used in conventional systems through well-known SQL patterns.},
publisher = {IEEE},
keywords = {smoothing methods},
keywords = {Data analysis},
keywords = {relational databases},
keywords = {fuzzy systems},
title = {Fuzzy Group By Queries via RL-Instances in Conventional RDBMS},
doi = {10.1109/FUZZ62266.2025.11152119},
author = {Marín Ruiz, Nicolás and Sánchez Fernández, Daniel and Rivas Gervilla, Gustavo},
}