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Measuring polarization: a fuzzy set theoretical approach

dc.conference.date15–19 jun 2020
dc.conference.placeLisboa, Portugal
dc.conference.title18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020
dc.contributor.authorGuevara Gil, Juan Antonio
dc.contributor.authorGómez González, Daniel
dc.contributor.authorRobles Morales, José Manuel
dc.contributor.authorMontero De Juan, Francisco Javier
dc.contributor.editorLesot, Marie-Jeanne
dc.contributor.editorVieira, Susana
dc.contributor.editorReformat, Marek Z.
dc.contributor.editorCarvalho, João Paulo
dc.contributor.editorWilbik, Anna
dc.contributor.editorBouchon-Meunier, Bernadette
dc.contributor.editorYager, Ronald R.
dc.date.accessioned2024-05-24T16:46:59Z
dc.date.available2024-05-24T16:46:59Z
dc.date.issued2020
dc.descriptionCommunications in Computer and Information Science (CCIS,volume 1238)
dc.description.abstractAbstract: The measurement of polarization has been studied over the last thirty years. Despite the different applied approaches, since polarization concept is complex, we find a lack of consensus about how it should be measured. This paper proposes a new approach to the measurement of the polarization phenomenon based on fuzzy set. Fuzzy approach provides a new perspective whose elements admit degrees of membership. Since reality is not black and white, a polarization measure should include this key characteristic. For this purpose we analyze polarization metric properties and develop a new risk of polarization measure using aggregation operators and overlapping functions. We simulate a sample of N = 391315 cases across a 5-likert-scale with different distributions to test our measure. Other polarization measures were applied to compare situations where fuzzy set approach offers different results, where membership functions have proved to play an essential role in the measurement. Finally, we want to highlight the new and potential contribution of fuzzy set approach to the polarization measurement which opens a new field to research on.
dc.description.departmentDepto. de Estadística y Ciencia de los Datos
dc.description.facultyFac. de Estudios Estadísticos
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades
dc.description.statuspub
dc.identifier.citationGuevara, J.A., Gómez, D., Robles, J.M., Montero, J. (2020). Measuring Polarization: A Fuzzy Set Theoretical Approach. In: Lesot, MJ., et al. Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2020. Communications in Computer and Information Science, vol 1238. Springer, Cham. https://doi.org/10.1007/978-3-030-50143-3_40
dc.identifier.doi10.1007/978-3-030-50143-3_40
dc.identifier.essn1865-0929
dc.identifier.isbn9783030501426
dc.identifier.issn1865-0929
dc.identifier.officialurlhttps://doi.org/10.1007/978-3-030-50143-3_40
dc.identifier.relatedurlhttps://link.springer.com/chapter/10.1007/978-3-030-50143-3_40
dc.identifier.urihttps://hdl.handle.net/20.500.14352/104427
dc.language.isoeng
dc.page.final522
dc.page.initial510
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-096509-B-I00/ES/GESTION INTELIGENTE DE INFORMACION BORROSA/
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.cdu316.653
dc.subject.cdu519.2
dc.subject.cdu316
dc.subject.keywordPolarization
dc.subject.keywordFuzzy set
dc.subject.keywordOrdinal variation
dc.subject.ucmEstadística
dc.subject.ucmSociología
dc.subject.ucmOpinión pública (Sociología)
dc.subject.unesco1209 Estadística
dc.subject.unesco5906 Sociología Política
dc.subject.unesco6114.15 Opinión Pública
dc.titleMeasuring polarization: a fuzzy set theoretical approach
dc.typeconference paper
dc.type.hasVersionVoR
dspace.entity.typePublication
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relation.isAuthorOfPublicatione2662924-fa9e-477e-9261-d6fbd339d717
relation.isAuthorOfPublication9e4cf7df-686c-452d-a98e-7b2602e9e0ea
relation.isAuthorOfPublication.latestForDiscovery4dcf8c54-8545-4232-8acf-c163330fd0fe

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