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dc.creatorYang, RouJianes_ES
dc.creatorJin, LeShenges_ES
dc.creatorPaternain Dallo, Danieles_ES
dc.creatorYager, Ronald R.es_ES
dc.creatorBustince Sola, Humbertoes_ES
dc.date.accessioned2021-04-07T07:20:57Z
dc.date.available2021-04-07T07:20:57Z
dc.date.issued2020
dc.identifier.citationYang, R., Jin, L., Paternain, D., Yager, R. R., Mesiar, R., & Bustince, H. (2020). Some preference involved aggregation models for basic uncertain information using uncertainty transformation. Journal of Intelligent & Fuzzy Systems, 39(1), 325-332. https://doi.org/10.3233/JIFS-191106en
dc.identifier.issn1875-8967 (Electronic)
dc.identifier.urihttps://hdl.handle.net/2454/39497
dc.description.abstractIn decision making, very often the data collected are with different extents of uncertainty. The recently introduced concept, Basic Uncertain Information (BUI), serves as one ideal information representation to well model involved uncertainties with different extents. This study discusses some methods of BUI aggregation by proposing some uncertainty transformations for them. Based on some previously obtained results, we at first define Iowa operator with poset valued input vector and inducing vector. The work then defines the concept of uncertain system, on which we can further introduce the multi-layer uncertainty transformation for BUI. Subsequently, we formally introduce MUT-Iowa aggregation procedure, which has good potential to more and wider application areas. A numerical example is also offered along with some simple usage of it in decision making.en
dc.description.sponsorshipThis work is partly supported under Scientific Research Start-up Foundation with Grant 184080H202B165; partly supported from the Science and Technology Assistance Agency under contract No. APVV-17-0066; partly supported from the project of Grant Agency of the Czech Republic (GACˇ R) no. 18-06915S; partly supported from the Natural Science Foundation of Jiangsu Province (Grants No BK20150870 and No. BK20190695); partly supported from the Jangsu’s Philosophy and Social Science Fund (grant no. 19GLC010).en
dc.format.extent8 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherIOS Pressen
dc.relation.ispartofJournal of Intelligent and Fuzzy Systems, 2020, 39(1), 325-332en
dc.rights© 2020 – IOS Press and the authors. All rights reserved.en
dc.subjectAggregation functionen
dc.subjectBUI aggregationen
dc.subjectDecision makingen
dc.subjectEvaluationen
dc.subjectOWA operatorsen
dc.subjectUncertain decision makingen
dc.titleSome preference involved aggregation models for basic uncertain information using uncertainty transformationen
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticases_ES
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematika Sailaeu
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.identifier.doi10.3233/JIFS-191106
dc.relation.publisherversionhttps://doi.org/10.3233/JIFS-191106
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen
dc.type.versionVersión aceptada / Onetsi den bertsioaes


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