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Two-layer preference models with methodologies using induced aggregation in management administration and decision making
Indexado
WoS WOS:000474715000102
Scopus SCOPUS_ID:85069512133
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


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.

Métricas Externas



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Disciplinas de Investigación



WOS
Computer Science, Artificial Intelligence
Scopus
Artificial Intelligence
Engineering (All)
Statistics And Probability
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



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

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Financiamiento



Fuente
Science and Technology Assistance Agency
Scientific Research Start-up Foundation
Doctoral Scientific Research Start-up Foundation from Henan University of Technology

Muestra la fuente de financiamiento declarada en la publicación.

Agradecimientos



Agradecimiento
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.

Muestra la fuente de financiamiento declarada en la publicación.