| dc.contributor.author | Marín Ruiz, Nicolás | |
| dc.contributor.author | Sánchez Fernández, Daniel | |
| dc.contributor.author | Rivas Gervilla, Gustavo | |
| dc.date.accessioned | 2026-02-17T09:52:12Z | |
| dc.date.available | 2026-02-17T09:52:12Z | |
| dc.date.issued | 2025 | |
| dc.identifier.citation | N. Marín, G. Rivas-Gervilla and D. Sánchez, "Fuzzy Group By Queries via RL-Instances in Conventional RDBMS," 2025 IEEE International Conference on Fuzzy Systems (FUZZ), Reims, France, 2025, pp. 1-6, doi: 10.1109/FUZZ62266.2025.11152119 | es_ES |
| dc.identifier.isbn | 979-8-3315-4319-8 | |
| dc.identifier.uri | https://hdl.handle.net/10481/111072 | |
| dc.description.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. | es_ES |
| dc.language.iso | eng | es_ES |
| dc.publisher | IEEE | es_ES |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.subject | smoothing methods | es_ES |
| dc.subject | Data analysis | es_ES |
| dc.subject | relational databases | es_ES |
| dc.subject | fuzzy systems | es_ES |
| dc.title | Fuzzy Group By Queries via RL-Instances in Conventional RDBMS | es_ES |
| dc.type | conference output | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.identifier.doi | 10.1109/FUZZ62266.2025.11152119 | |
| dc.type.hasVersion | AM | es_ES |