General grouping functions
Fecha
2020Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Contribución a congreso / Biltzarrerako ekarpena
Versión
Versión aceptada / Onetsi den bertsioa
Identificador del proyecto
ES/1PE/TIN2016-81731 ES/1PE/TIN2016-77356-P
Impacto
|
10.1007/978-3-030-50143-3_38
Resumen
Some aggregation functions that are not necessarily associative, namely overlap and grouping functions, have called the attention of many researchers in the recent past. This is probably due to the fact that they are a richer class of operators whenever one compares with other classes of aggregation functions, such as t-norms and t-conorms, respectively. In the present work we introduce a more ge ...
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Some aggregation functions that are not necessarily associative, namely overlap and grouping functions, have called the attention of many researchers in the recent past. This is probably due to the fact that they are a richer class of operators whenever one compares with other classes of aggregation functions, such as t-norms and t-conorms, respectively. In the present work we introduce a more general proposal for disjunctive n-ary aggregation functions entitled general grouping functions, in order to be used in problems that admit n dimensional inputs in a more flexible manner, allowing their application in different contexts. We present some new interesting results, like the characterization of that operator and also provide different construction methods. [--]
Materias
Grouping functions,
n-dimensional grouping functions,
General grouping functions,
General overlap functions
Editor
Springer
Publicado en
Lesot MJ. et al. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2020. Communications in Computer and Information Science, vol 1238. Springer, Cham, 2020, pp. 481-495. ISBN 978-3-030-50143-3
Notas
Trabajo presentado a la 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020. Lisboa, junio de 2020
Departamento
Universidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticas /
Universidad Pública de Navarra/Nafarroako Unibertsitate Publikoa. Institute of Smart Cities - ISC /
Nafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematika Saila
Versión del editor
Entidades Financiadoras
Supported by CNPq (233950/2014-1, 307781/2016-0, 301618/2019-4), FAPERGS (17/2551 - 0000872-3, 19/2551 - 0001279-9, 19/ 2551 - 0001660-3), PNPD/CAPES (464880 /2019-00) and the Spanish Ministry of Science and Technology (PC093 - 094TFIPDL, TIN2016-81731-REDT, TIN2016-77356-P (AEI/FEDER, UE)).
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