Bonferroni means with induced ordered weighted average operators
Author
dc.contributor.author
Blanco Mesa, Fabio
Author
dc.contributor.author
León Castro, Ernesto
Author
dc.contributor.author
Merigó Lindahl, José
Author
dc.contributor.author
Xu, Zeshui
Admission date
dc.date.accessioned
2019-05-31T15:34:01Z
Available date
dc.date.available
2019-05-31T15:34:01Z
Publication date
dc.date.issued
2019
Cita de ítem
dc.identifier.citation
International Journal of Intelligent Systems, Volumen 34, Issue 1, 2019, Pages 3-23
Identifier
dc.identifier.issn
1098111X
Identifier
dc.identifier.issn
08848173
Identifier
dc.identifier.other
10.1002/int.22033
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/169706
Abstract
dc.description.abstract
The induced ordered weighted average is an averaging aggregation operator that provides a parameterized family of aggregation operators between the minimum and the maximum. This paper presents some new generalizations by using Bonferroni means (BM) forming induced BM. The main advantage of this approach is the possibility of reordering the results according to complex ranking processes based on order-inducing variables. The work also presents some additional extensions by using the weighted ordered weighted average, immediate weights, and hybrid averages. Some further generalizations with generalized and quasi-arithmetic means are also developed to consider a wide range of particular cases including quadratic and geometric aggregations. The article also considers the applicability of the new approach in-group decision-making developing an application in sales forecasting.