Prioritized induced probabilistic operator and its application in group decision making
Author
dc.contributor.author
Alessandri Pérez-Arellano, Luis
Author
dc.contributor.author
León Castro, Ernesto
Author
dc.contributor.author
Avilés-Ochoa, Ezequiel
Author
dc.contributor.author
Merigó Lindahl, José
Admission date
dc.date.accessioned
2019-10-15T12:25:27Z
Available date
dc.date.available
2019-10-15T12:25:27Z
Publication date
dc.date.issued
2019
Cita de ítem
dc.identifier.citation
International Journal of Machine Learning and Cybernetics, Volumen 10, Issue 3, 2019, Pages 451-462
Identifier
dc.identifier.issn
1868808X
Identifier
dc.identifier.issn
18688071
Identifier
dc.identifier.other
10.1007/s13042-017-0724-2
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/171691
Abstract
dc.description.abstract
A new extension of the ordered weighted average (OWA) operator is presented. This new operator includes the characteristics of three other operators: the prioritized, induced and probabilistic. The name is the prioritized induced probabilistic ordered weighted average (PIPOWA) operator. This operator can be used in a group decision-making process for selection of an alternative, taking into account three aspects: (1) not all of the decision-makers are equally important, (2) the probability of success of each alternative, and (3) an induced weighted vector. In the paper, some families of this operator are presented such as the prioritized probabilistic weighted average (PPOWA) operator and the prioritized induced ordered weighted average (PIOWA) operator. Additionally, some of the parameterized family of the aggregation operators, such as the minimum, maximum and total operator, are presented as special cases. The article also generalizes the PIPOWA