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dc.contributor.authorChen, Yufen
dc.contributor.authorJin, Huanhuan
dc.contributor.authorChen, Chao
dc.contributor.authorZhang, Chonghui
dc.date.accessioned2019-07-10T06:39:08Z-
dc.date.available2019-07-10T06:39:08Z-
dc.date.issued2019
dc.identifier.citationE+M. Ekonomie a Management = Economics and Management. 2019, roč. 22, č. 1, s. 40-50.cs
dc.identifier.issn2336-5604 (Online)
dc.identifier.issn1212-3609 (Print)
dc.identifier.urihttp://hdl.handle.net/11025/34871
dc.format11 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherTechnická univerzita v Libercics
dc.relation.ispartofseriesE+M. Ekonomie a Management = Economics and Managementcs
dc.rightsCC BY-NC 4.0en
dc.subjectintuitionistická lingvistická množinacs
dc.subjectrozhodování podle více atributůcs
dc.subjectindukovaný agregační operátorcs
dc.subjectvýběr financovánícs
dc.titleFinancing selection method in discipline evaluation using a weighted induced modelen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe selection of a suitable fi nancing alternative involves multifarious attributes that should be assessed to provide a basis foundation for decision-making. As an effective generation of intuitionistic fuzzy set and linguistic term, the intuitionistic linguistic set (ILS) has greater power for processing uncertain information during decision-making process. Keep this feature in mind, the main purpose of this paper is to investigate a weighted induced aggregation approach for decisionmaking problem concerning fi nancing selection with complex uncertainty in term of intuitionistic linguistic (IL) information. For this, a new intuitionistic linguistic aggregation operator based on the weighted induced approach, namely the IL weighted induced ordered average-weighted averaging (ILWIOWAWA) operator, is proposed to integrate intuitionistic linguistic information. The special advantage of this operator is that it can integrate the subjective information with the particular attitudinal characters in form of order-induced variables in the same expression during information fusion. Moreover, it is able to deal with uncertain information represented by intuitionistic linguistic set very effectively. Some of its properties and particular cases are mathematically explored. We have proved that it has the properties of monotonicity, boundedness, idempotency, nonnegativity and refl exivity. A further extension of the proposed operator is also represented in term of quasiarithmetic means, then we get the quasi-arithmetic ILWIOWAWA (QILWIOWAWA) operator, which encompasses a very broad class of IL aggregation operators. In addition, based on the developed operator, a procedure for multiple attribute group decision-making (MAGDM) problems has been discussed. Finally, a numerical application related to the discipline evaluation in university is used to show the validity and practicability of the proposed method.en
dc.subject.translatedintuitionistic linguistic seten
dc.subject.translatedmultiple attribute decision-makingen
dc.subject.translatedinduced aggregation operatoren
dc.subject.translatedfinancing selectionen
dc.identifier.doihttps://dx.doi.org/10.15240/tul/001/2019-2-003
dc.type.statusPeer-revieweden
Appears in Collections:Číslo 2 (2019)
Číslo 2 (2019)

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