dc.creatorZhu, Cheng
dc.creatorMesiar, Radko
dc.creatorYager, Ronald R.
dc.creatorMerigó Lindahl, José
dc.creatorQin, Jindong
dc.creatorFeng, Xiangqian
dc.creatorJin, Lesheng
dc.date.accessioned2019-10-22T03:08:28Z
dc.date.available2019-10-22T03:08:28Z
dc.date.created2019-10-22T03:08:28Z
dc.date.issued2019
dc.identifierJournal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 1213-1221, 2019
dc.identifier18758967
dc.identifier10641246
dc.identifier10.3233/JIFS-182671
dc.identifierhttps://repositorio.uchile.cl/handle/2250/171834
dc.description.abstractIn this work, we propose some two-layer preference models that can be appropriately applied in management problems such as the group decision making about predicting the future market share of certain product. By introducing the convex IOWA operator paradigm and some related properties and definitions, we list some detailed preference and inducing preference models to demonstrate and exemplify the proposed conceptual frame of two-layer preference model. The convex IOWA operator paradigm facilitates the modeling process and, from mathematical view, makes it stricter. When relevant inducing information and aggregation selection change, the proposed models can be easily adapted to accommodate more different applications in decision making and evaluation.
dc.languageen
dc.publisherIOS Press
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
dc.sourceJournal of Intelligent and Fuzzy Systems
dc.subjectAggregation operators
dc.subjectDecision making
dc.subjectInduced aggregation
dc.subjectOrdered weighted averaging operators
dc.subjectOrness/andness
dc.subjectPreference model
dc.titleTwo-layer preference models with methodologies using induced aggregation in management administration and decision making
dc.typeArtículo de revista


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