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    General grouping functions

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    2020101266_Santos_GeneralGrouping.pdf (305.8Kb)
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    2021-06-05
    Date
    2020
    Author
    Santos, Helida 
    Pereira Dimuro, Graçaliz Upna
    Asmus, Tiago 
    Sanz Delgado, José Antonio Upna
    Fernández Fernández, Francisco Javier Upna
    Bustince Sola, Humberto Upna
    Version
    Acceso embargado / Sarbidea bahitua dago
    Type
    Contribución a congreso / Biltzarrerako ekarpena
    Version
    Versión aceptada / Onetsi den bertsioa
    Project Identifier
    ES/1PE/TIN2016-81731 
    ES/1PE/TIN2016-77356-P 
    Impact
     
     
     
    10.1007/978-3-030-50143-3_38
     
     
     
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    Abstract
    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 ... [++]
    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. [--]
    Subject
    Grouping functions, n-dimensional grouping functions, General grouping functions, General overlap functions
     
    Publisher
    Springer
    Published in
    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
    Description
    Trabajo presentado a la 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020. Lisboa, junio de 2020
    Departament
    Universidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticas / Nafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematikak Saila / Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa. ISC - Institute of Smart Cities
     
    Publisher version
    https://doi.org/10.1007/978-3-030-50143-3_38
    URI
    https://hdl.handle.net/2454/39261
    Sponsorship
    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)).
    Appears in Collections
    • Comunicaciones y ponencias de congresos ISC - ISC biltzarretako komunikazioak eta txostenak [59]
    • Comunicaciones y ponencias de congresos DEIM - EIMS Biltzarretako komunikazioak eta txostenak [23]
    • Comunicaciones y ponencias de congresos - Biltzarrak eta Argitalpenak [457]
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