Two-layer preference models with methodologies using induced aggregation in management administration and decision making
Author
dc.contributor.author
Zhu, Cheng
Author
dc.contributor.author
Mesiar, Radko
Author
dc.contributor.author
Yager, Ronald R.
Author
dc.contributor.author
Merigó Lindahl, José
Author
dc.contributor.author
Qin, Jindong
Author
dc.contributor.author
Feng, Xiangqian
Author
dc.contributor.author
Jin, Lesheng
Admission date
dc.date.accessioned
2019-10-22T03:08:28Z
Available date
dc.date.available
2019-10-22T03:08:28Z
Publication date
dc.date.issued
2019
Cita de ítem
dc.identifier.citation
Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 1213-1221, 2019
Identifier
dc.identifier.issn
18758967
Identifier
dc.identifier.issn
10641246
Identifier
dc.identifier.other
10.3233/JIFS-182671
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/171834
Abstract
dc.description.abstract
In 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.