Examinando por Autor "K. Rojas"

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Consistency and stability in aggregation operators: An application to missing data problems
(Atlantis Press, 2014-06-01) D. Gómez; K. Rojas; J. Montero; J. T. Rodríguez; G. Beliakov
In this work we analyze the key issue of the relationship that should hold between the operators in a family {} of aggregation operators in order to understand they properly define a whole. Here we extend some of the ideas about stability of a family of aggregation operators into a more general framework, formally defining the notions of and strict stability for families of aggregation operators. The notion of strict stability of order is introduced as well. Finally, we also present an application of the strict stability conditions to deal with missing data problems in an information aggregation process. For this analysis, we have focused in the weighted mean family and the quasi-arithmetic weighted means families
Social index construction method based on consistent aggregation operator families
(IEEE, 2018-10-14) K. Rojas; P. Olaso; J.M. Robles; J. Montero; D. Gómez
It is common to find index constructio methods based on crisp techniques and linear models. However, these procedures are not always adequate to capture the essential model of an index. Index development can be approached as a nested or hierarchical aggregation process, where part of the data can have a different level of importance, and the other part can be unstructured. In addition, the information can be studied under a fuzzy approach. This paper proposes an index construction method using the notion of consistency in aggregation operator families to ensure robustness, in addition to considering a hierarchical structure with different level of importance of input information. Two applications are presented, a measure of social and advanced uses of the Internet considering attitudinal, demographic, social and technological factors, and a measure of the child’s family environment considering different aspects.