| dc.creator | Espinoza Audelo, Luis | |
| dc.creator | León Castro, Ernesto | |
| dc.creator | Olazabal Lugo, Marycruz | |
| dc.creator | Merigó Lindahl, José | |
| dc.creator | Gil Lafuente, Anna M. | |
| dc.date.accessioned | 2020-06-22T23:07:49Z | |
| dc.date.available | 2020-06-22T23:07:49Z | |
| dc.date.created | 2020-06-22T23:07:49Z | |
| dc.date.issued | 2020 | |
| dc.identifier | International Journal of Information Technology & Decision Making Volumen: 19 Número: 2 Páginas: 601-628 Mar 2020 | |
| dc.identifier | 10.1142/S0219622020500066 | |
| dc.identifier | https://repositorio.uchile.cl/handle/2250/175641 | |
| dc.description.abstract | This paper presents the ordered weighted average weighted average inflation (OWAWAI) and some extensions using induced and heavy aggregation operators and presents the generalized operators and some of their families. The main advantage of these new formulations is that they can use two different sets of weighting vectors and generate new scenarios based on the reordering of the arguments with the weights. With this idea, it is possible to generate new approaches that under- or overestimate the results according to the knowledge and expertise of the decision-maker. The work presents an application of these new approaches in the analysis of the inflation in Chile, Colombia, and Argentina during 2017. | |
| dc.language | en | |
| dc.publisher | World Scientific Publishing | |
| dc.source | International Journal of Information Technology & Decision Making | |
| dc.subject | OWA operator | |
| dc.subject | Inflation | |
| dc.subject | Decision making | |
| dc.title | Using Ordered Weighted Average for Weighted Averages Inflation | |
| dc.type | Artículo de revista | |
