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| Indexado |
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| DOI | 10.3233/JIFS-182671 | ||||
| Año | 2019 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
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.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Zhu, Cheng | - |
Nanjing Normal Univ - China
Nanjing Normal University - China |
| 2 | Mesiar, Radko | Hombre |
Slovak Univ Technol Bratislava - República Eslovaca
Slovak University of Technology in Bratislava - República Eslovaca |
| 3 | Yager, Ronald R. | Hombre |
Iona Coll - Estados Unidos
Machine Intelligence Institute - Estados Unidos |
| 4 | Merigo, Jose | Hombre |
Universidad de Chile - Chile
|
| 5 | Qin, Jindong | - |
Wuhan Univ Technol - China
Wuhan University of Technology - China |
| 6 | Feng, Xiangqian | - |
Nanjing Normal Univ - China
Nanjing Normal University - China |
| 7 | Jin, Le Sheng | Mujer |
Nanjing Normal Univ - China
Nanjing Normal University - China |
| Fuente |
|---|
| Science and Technology Assistance Agency |
| Scientific Research Start-up Foundation |
| Doctoral Scientific Research Start-up Foundation from Henan University of Technology |
| Agradecimiento |
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| The authors are most grateful to five anonymous reviewers and associated editor for their comments and suggestions which significantly improved the quality of this work. This work was partly supported under: Scientific Research Start-up Foundation with Grant 184080H202B165. This work was also partly supported from the Science and Technology Assistance Agency under contract No. APVV-17-0066. |
| The authors are most grateful to five anonymous reviewers and associated editor for their comments and suggestions which significantly improved the quality of this work. This work was partly supported under: Scientific Research Start-up Foundation with Grant 184080H202B165. This work was also partly supported from the Science and Technology Assistance Agency under contract No. APVV-17-0066. |