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dc.creatorAlcalde, Cristinaes_ES
dc.creatorBurusco Juandeaburre, Anaes_ES
dc.date.accessioned2020-04-17T10:27:11Z
dc.date.available2020-07-06T23:00:11Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/2454/36737
dc.description.abstractThis paper will delve deeper into the general study of the L-fuzzy contexts associated with criteria analyzing situations with a known evolution over time. These criteria may be independent or dependent on each other. We propose two different studies: to build an aggregated context looking for a simplification of the process and to keep the sequence obtaining interesting nuances over time. In both cases, aggregation operators will be used in order to address the problem. Finally, a practical example about ratings obtained by different tourist accommodations illustrates the results.en
dc.description.sponsorshipThis paper is partially supported by the Research Group 'Intelligent Systems and Energy (SI+E)' of the University of the Basque Country, under Grant GIU16/54 and by the Research Group 'Artificial Intelligence and Approximate Reasoning' of the Public University of Navarre, under TIN2016-77356-P (MINECO, AEI/FEDER, UE)en
dc.format.extent8 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherSpringeren
dc.relation.ispartofKahraman C., Cebi S., Cevik Onar S., Oztaysi B., Tolga A., Sari I. (eds): Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making. INFUS 2019. Advances in Intelligent Systems and Computing, vol 1029. Springer, Cham. 978-3-030-23756-1en
dc.rights© Springer Nature Switzerland AG 2020en
dc.subjectL-fuzzy concept analysisen
dc.subjectL-fuzzy contexts associated with criteriaen
dc.subjectWOWA operatorsen
dc.subjectChoquet integralsen
dc.titleEvolution of L-fuzzy contexts associated with criteriaen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeContribución a congreso / Biltzarrerako ekarpenaes
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.contributor.departmentInstitute of Smart Cities - ISCes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.embargo.terms2020-07-06
dc.identifier.doi10.1007/978-3-030-23756-1_8
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/TIN2016-77356-Pen
dc.relation.publisherversionhttps://doi.org/10.1007/978-3-030-23756-1_8
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen
dc.type.versionVersión aceptada / Onetsi den bertsioaes


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