dc.creatorAlessandri Pérez-Arellano, Luis
dc.creatorLeón Castro, Ernesto
dc.creatorAvilés-Ochoa, Ezequiel
dc.creatorMerigó Lindahl, José
dc.date.accessioned2019-10-15T12:25:27Z
dc.date.available2019-10-15T12:25:27Z
dc.date.created2019-10-15T12:25:27Z
dc.date.issued2019
dc.identifierInternational Journal of Machine Learning and Cybernetics, Volumen 10, Issue 3, 2019, Pages 451-462
dc.identifier1868808X
dc.identifier18688071
dc.identifier10.1007/s13042-017-0724-2
dc.identifierhttps://repositorio.uchile.cl/handle/2250/171691
dc.description.abstractA 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
dc.languageen
dc.publisherSpringer Verlag
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
dc.sourceInternational Journal of Machine Learning and Cybernetics
dc.subjectGroup decision making
dc.subjectInduced aggregation operators
dc.subjectOWA operator
dc.subjectPrioritized aggregation operators
dc.titlePrioritized induced probabilistic operator and its application in group decision making
dc.typeArtículo de revista


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