Heavy moving averages and their application in econometric forecasting
Author
dc.contributor.author
León Castro, Ernesto
Author
dc.contributor.author
Avilés Ochoa, Ezequiel
Author
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Merigó Lindahl, José
Author
dc.contributor.author
Gil Lafuente, Anna María
Admission date
dc.date.accessioned
2018-07-19T22:20:51Z
Available date
dc.date.available
2018-07-19T22:20:51Z
Publication date
dc.date.issued
2018
Cita de ítem
dc.identifier.citation
Cybernetics and Systems, 49: 1, 26-43
es_ES
Identifier
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10.1080/01969722.2017.1412883
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/150030
Abstract
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This paper presents the heavy ordered weighted moving average (HOWMA) operator. It is an aggregation operator that uses the main characteristics of two well-known techniques: the heavy ordered weighted averaging (OWA) and the moving averages. Therefore, this operator provides a parameterized family of aggregation operators from the minimum to the total operator and includes the OWA operator as a special case. It uses a heavy weighting vector in the moving average formulation and it represents the information available and the knowledge of the decision maker about the future scenarios of the phenomenon, according to his attitudinal character. Some of the main properties of this operator are studied, including a wide range of families of HOWMA operators such as the heavy moving average and heavy weighted moving average operators. The HOWMA operator is also extended using generalized and quasi-arithmetic means. An example concerning the foreign exchange rate between US dollars and Mexican pesos is also presented.