Publication: A generalization of the Sugeno integral to aggregate interval-valued data: an application to brain computer interface and social network analysis
dc.contributor.author | Fumanal Idocin, Javier | |
dc.contributor.author | Takáč, Zdenko | |
dc.contributor.author | Horanská, Lubomíra | |
dc.contributor.author | Da Cruz Asmus, Tiago | |
dc.contributor.author | Pereira Dimuro, Graçaliz | |
dc.contributor.author | Vidaurre Arbizu, Carmen | |
dc.contributor.author | Fernández Fernández, Francisco Javier | |
dc.contributor.author | Bustince Sola, Humberto | |
dc.contributor.department | Institute of Smart Cities - ISC | en |
dc.date.accessioned | 2023-05-11T08:28:56Z | |
dc.date.issued | 2022 | |
dc.date.updated | 2023-05-11T08:19:34Z | |
dc.description.abstract | Intervals are a popular way to represent the uncertainty related to data, in which we express the vagueness of each observation as the width of the interval. However, when using intervals for this purpose, we need to use the appropriate set of mathematical tools to work with. This can be problematic due to the scarcity and complexity of interval-valued functions in comparison with the numerical ones. In this work, we propose to extend a generalization of the Sugeno integral to work with interval-valued data. Then, we use this integral to aggregate interval-valued data in two different settings: first, we study the use of intervals in a brain-computer interface; secondly, we study how to construct interval-valued relationships in a social network, and how to aggregate their information. Our results show that interval-valued data can effectively model some of the uncertainty and coalitions of the data in both cases. For the case of brain-computer interface, we found that our results surpassed the results of other interval-valued functions. | en |
dc.description.sponsorship | This work was supported by the Spanish Ministry of Economy and Competitiveness through the Spanish National Research (project PID2019-108392GB-I00/ financed by MCIN/AEI/10.13039/501100011033 and the grant VEGA 1/0267/21 ). | en |
dc.embargo.inicio | 2023-05-11 | |
dc.embargo.lift | 2024-12-21 | |
dc.embargo.terms | 2024-12-21 | |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Fumanal-Idocin, J., Takác, Z., Horanská, L., da Cruz Asmus, T., Dimuro, G., Vidaurre, C., Fernandez, J., Bustince, H. (2022) A generalization of the Sugeno integral to aggregate interval-valued data: An application to brain computer interface and social network analysis. Fuzzy Sets and Systems, 451, 320-341. https://doi.org/10.1016/j.fss.2022.10.003. | en |
dc.identifier.doi | 10.1016/j.fss.2022.10.003 | |
dc.identifier.issn | 0165-0114 | |
dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/45285 | |
dc.language.iso | eng | en |
dc.publisher | Elsevier | en |
dc.relation.ispartof | Fuzzy Sets and Systems, 451 (2022) 320-341 | en |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108392GB-I00/ES/ | en |
dc.relation.publisherversion | https://doi.org/10.1016/j.fss.2022.10.003 | |
dc.rights | © 2022 Elsevier B.V. This manuscript version is made available under the CC-BY-NC-ND 4.0 | en |
dc.rights.accessRights | info:eu-repo/semantics/embargoedAccess | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | Aggregation function | en |
dc.subject | Brain computer interface | en |
dc.subject | Generalized Sugeno integral | en |
dc.subject | Social network | en |
dc.subject | Sugeno integral | en |
dc.title | A generalization of the Sugeno integral to aggregate interval-valued data: an application to brain computer interface and social network analysis | en |
dc.type | info:eu-repo/semantics/article | |
dc.type.version | Versión aceptada / Onetsi den bertsioa | es |
dc.type.version | info:eu-repo/semantics/acceptedVersion | en |
dspace.entity.type | Publication | |
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