Afficher la notice abrégée

dc.contributor.authorMarín Ruiz, Nicolás 
dc.contributor.authorSánchez Fernández, Daniel 
dc.contributor.authorRivas Gervilla, Gustavo 
dc.date.accessioned2026-02-17T09:52:12Z
dc.date.available2026-02-17T09:52:12Z
dc.date.issued2025
dc.identifier.citationN. 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/FUZZ62266.2025.11152119es_ES
dc.identifier.isbn979-8-3315-4319-8
dc.identifier.urihttps://hdl.handle.net/10481/111072
dc.description.abstractSQL 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.isoenges_ES
dc.publisherIEEEes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectsmoothing methodses_ES
dc.subjectData analysises_ES
dc.subjectrelational databases es_ES
dc.subjectfuzzy systems es_ES
dc.titleFuzzy Group By Queries via RL-Instances in Conventional RDBMSes_ES
dc.typeconference outputes_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1109/FUZZ62266.2025.11152119
dc.type.hasVersionAMes_ES


Fichier(s) constituant ce document

[PDF]

Ce document figure dans la(les) collection(s) suivante(s)

Afficher la notice abrégée

Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Excepté là où spécifié autrement, la license de ce document est décrite en tant que Attribution-NonCommercial-NoDerivatives 4.0 Internacional